Board-certified Dermatologists Research Articles

Transparent medical image AI via an image-text foundation model grounded in medical literature.

Building trustworthy and transparent image-based medical artificial intelligence (AI) systems requires the ability to interrogate data and models at all stages of the development pipeline, from training models to post-deployment monitoring. Ideally, the data and associated AI systems could be described using terms already familiar to physicians, but this requires medical datasets densely annotated with semantically meaningful concepts. In the present study, we present a foundation model approach, named MONET (medical concept retriever), which learns how to connect medical images with text and densely scores images on concept presence to enable important tasks in medical AI development and deployment such as data auditing, model auditing and model interpretation. Dermatology provides a demanding use case for the versatility of MONET, due to the heterogeneity in diseases, skin tones and imaging modalities. We trained MONET based on 105,550 dermatological images paired with natural language descriptions from a large collection of medical literature. MONET can accurately annotate concepts across dermatology images as verified by board-certified dermatologists, competitively with supervised models built on previously concept-annotated dermatology datasets of clinical images. We demonstrate how MONET enables AI transparency across the entire AI system development pipeline, from building inherently interpretable models to dataset and model auditing, including a case study dissecting the results of an AI clinical trial.

Can dermatologists reach their full potential in teledermatology? A validation study of diagnostic performanceof skin diseases in live video conferencingteledermatology.

The diagnostic accuracy rate of live videoconferencing (LVC) teledermatology, by board-certified dermatologists compared to non-dermatologists has not yet been fully investigated. The aim of this study was to compare the diagnostic accuracy of board-certified dermatologists, dermatology specialty trainees, and board-certified internists in LVC teledermatology. We examined the diagnostic accuracy of clinicians from different specialties in diagnosing the same group of patients. The clinicians were isolated from each other during the diagnosis process. We enrolled 18 volunteer physicians (six board-certified dermatologists, six dermatology specialty trainees, and six board-certified internists) who reviewed the skin conditions of 18 patients via LVC teledermatology. The diagnostic accuracy of the participating physicians was evaluated using the final diagnosis as the reference standard. The diagnostic accuracy averages were compared according to the physicians' specialties and disease categories. The mean ± standard deviation diagnostic accuracy of the most detailed level diagnosis was 83.3% ± 3.5% (range, 77.8%-89.0%) for board-certified dermatologists, 53.7 ± 20.7% (range 27.8%-77.8%) for dermatology specialty trainees, and 27.8 ± 5.0% (range, 22.2%-33.3%) for board-certified internists. Board-certified dermatologists showed significantly higher diagnostic accuracy, not only against board-certified internists (p < 0.0001) but also against dermatology specialty trainees (p < 0.05). Disease categories with high accuracy rates (≥80%) only by board-certified dermatologists were inflammatory papulosquamous dermatoses (87.5%), compared to 58.3%, and 20.8% for dermatology specialty trainees and board-certified internists respectively). For inflammatory erythemas and other reactive inflammatory dermatoses the accuracy rates for board-certified dermatologists, dermatology specialty trainees, and board-certified internists were 83.3%, 33.3%, 8.3% respectively; for melanoma insitu neoplasms, 83.3%, 50.0%, 66.7% respectively), and for genetic disorders of keratinization 83.3%, 33.3%, and 0% respectively). Our findings showed that board-certified dermatologists may have high diagnostic accuracy with practical safety and effectiveness in LVC teledermatology.

308-nm excimer light is effective for palmoplantar pustulosis regardless of the presence or absence of focal infection: Single-center real-world experience of treatment for palmoplantar pustulosis.

Palmoplantar pustulosis (PPP) is relatively rare and recognition of PPP is different in different countries. Therefore, real-world data are limited. Local phototherapy for the palms and the soles is commonly used to treat PPP due to tolerable safety. However, data on the effectiveness of 308-nm excimer light are limited. In our study, we retrospectively investigated the effectiveness of treatments for PPP, especially phototherapy (308-nm excimer light), in our department. In addition, we examined whether smoking status and focal infection affected responsiveness to treatment of PPP. Patients who were diagnosed with PPP by board-certified dermatologists and visited our hospital from April 2015 to August 2018 were analyzed in this study. We collected data on PPP area severity index (PPPASI) before treatment. We also collected data on PPPASI in May to August 2018 as "after treatment" from all patients. Patients who received any treatment for less than 3 months were excluded. Nineteen patients (16 women and three men) were analyzed in this study. In patients treated with phototherapy (n = 12), PPPASI significantly decreased from a mean ± SD of 16.5 ± 10.3 to 4.5 ± 3.6 (p = 0.004), whereas it did not in patients treated without phototherapy (n = 7). Patients who quit smoking showed a significant decrease in PPPASI after treatment (16.8 ± 12.7 to 2.4 ± 2.9, p = 0.008). Regarding focal infection, in patients treated without phototherapy, the reduction rate of PPPASI was significantly lower in patients with focal infection than in those without focal infection (17.7 ± 21.5%, 71.1 ± 19.3%, p = 0.035), indicating that focal infection is associated with intractability. Meanwhile, in patients treated with phototherapy, PPPASI decreased regardless of the presence or absence of focal infection. In conclusion, our study demonstrated the effectiveness of local phototherapy consisting of 308-nm excimer light, regardless of focal infection. Patients who quit smoking were responsive to any treatment, indicating the importance of smoking cessation.

A 15% Trichloroacetic Acid + 3% Glycolic Acid Chemical Peel Series Improves Appearance of Hand Lentigines: An Evaluator-Blinded, Split-Hand Prospective Trial.

Improving the appearance of lentigines on the hands is a key component to hand rejuvenation. Soft tissue fillers revolumize hands, but do not address pigmentary changes. OBJECTIVE: This study investigated the effiacy of a 15% trichloroacetic acid (TCA) + 3% glycolic acid (GA) combination peel in improvement of appearance of hand lentigines. A prospective evaluator-blinded, split-hand study was performed using a 15% TCA + 3% GA peel to treat patients with hand lentigines. Subjects received a total of 3 treatments at 4-week intervals on 1 hand, with the other hand serving as an untreated control. Final photographs were taken 12 weeks after the last treatment. Two blinded board-certified dermatologists graded improvement in hand lentigines using a 5-point scale. Eighteen of 20 patients completed the study (90%). The mean age was 64.4 years (SE 1.6, range 51-71). The mean pain scores were 3.8 (SE 0.4) on a 10-point scale (1 = no pain, 10 = extremely painful). Blinded evaluators correctly identified the after-treatment photographs in 16 patients (88%). Physician and patient-graded mean improvement of lentigines was significant for treated versus control hands ( p < .01). No adverse events were noted. A series of three 15% TCA + 3% GA peels are effective and safe in the treatment of hand lentigines.

Dermatologists’ Views on the Use of Teledermatology

"Boosted by the COVID-19 pandemic, the adoption of technology has shifted people’s lifestyles, impacting social interactions and leading to an increase in the use of telemedicine, including teledermatology (TD). Social media platforms facilitate communication between patients and physicians, between primary care physicians and specialists, and between dermatologists. The study aimed to assess the attitudes, views, and usage of dermatologists regarding TD consultations. A cross-sectional study was performed with the use of an anonymous, web-based questionnaire intended to be completed by dermatologists. A total number of 73 physicians, both resident and board-certified dermatologists completed the survey. Almost everyone (98.6%) used some form of teledermatology, the most frequently used platforms being WhatsApp, followed by classical telephone calls/messages, email, and other forms of TD. TD is considered to be especially useful in communicating with peer colleagues (94.4%), with physicians of other specialties (90.0%), with family doctors (72.9%) and with patients (69.9%). Since TD can facilitate the treatment-related follow-up of adverse effects, while also being useful in the triage of patients, its use will likely increase in the future. The main concerns were related to the accuracy of the diagnosis through TD, a less developed doctor-patient relationship, a less informative consultation, an increased workload as well and a diminished financial reimbursement. Dermatologists currently use TD in addition to the classical consultations of patients, as well as to communicate with family physicians and peer colleagues to better manage complex cases. Furthermore, TD proves to be an important tool in the education of young dermatologists."

The 730 nm picosecond titanium sapphire laser for treatment of café-au-lait macules in all skin types.

Café-au-lait macules (CALM) are benign birthmarks presenting as uniformly pigmented, well demarcated, brown patches that can be distressing to patients, especially when located in cosmetically sensitive areas. As with all pigmentary lesions in skin of color patients, CALMs have been particularly challenging to treat. Here we present the first case series characterizing treatment parameters and clinical outcomes utilizing the 730-nm picosecond titanium sapphire laser for the treatment of CALMs. This device provides an additional safe and effective treatment option for these challenging cases. We performed a retrospective review of patients treated at a single institution between April 2021 and December 2023. Clinical photographs were graded by 3 outside board-certified dermatologists using a 5-point visual analog scale. Fourteen patients (age range: 10 months-66 years, mean age: 27.4 years, Fitzpatrick skin types II-VI) were treated for CALM on the face (11) or body (3). On average, patients received 4.3 treatments, with treatment intervals ranging from 4 to 40 weeks. Treatment remains ongoing with the 730-nm picosecond laser for eight patients. Overall, patients were rated to have a mean improvement of 26%-50%. Two patients (FST III and VI) achieved 100% clearance after 4-5 treatment sessions. Our study included four patients whose CALM were of the smooth bordered "coast of California" subtype, three of whom had a mean improvement rating of only 1%-25%. The fourth patient had near complete resolution. Follow up for these patients has ranged from 6 weeks to 1.5 years. Of the patients treated, one patient experienced transient post-inflammatory hyperpigmentation and another transient post-inflammatory hypopigmentation, while a third patient experienced mild persistent guttate hypopigmentation. Three patients experienced partial recurrence indicating that maintenance treatments may be needed in some patients. The 730-nm picosecond titanium sapphire laser is a safe and efficacious treatment option, in the right morphologic setting, to improve the cosmetic appearance of CALMs in a wide range of ages and skin types. To our knowledge, this is the first reported treatment of CALMs with picosecond lasers in FST V and VI patients. Our study also supports prior studies which have found that CALM with smooth-bordered "coast of California" morphology have a poor response to laser therapy as compared to those with jagged or ill-defined bordered "coast of Maine" morphology.

Deep learning-aided decision support for diagnosis of skin disease across skin tones

Although advances in deep learning systems for image-based medical diagnosis demonstrate their potential to augment clinical decision-making, the effectiveness of physician–machine partnerships remains an open question, in part because physicians and algorithms are both susceptible to systematic errors, especially for diagnosis of underrepresented populations. Here we present results from a large-scale digital experiment involving board-certified dermatologists (n = 389) and primary-care physicians (n = 459) from 39 countries to evaluate the accuracy of diagnoses submitted by physicians in a store-and-forward teledermatology simulation. In this experiment, physicians were presented with 364 images spanning 46 skin diseases and asked to submit up to four differential diagnoses. Specialists and generalists achieved diagnostic accuracies of 38% and 19%, respectively, but both specialists and generalists were four percentage points less accurate for the diagnosis of images of dark skin as compared to light skin. Fair deep learning system decision support improved the diagnostic accuracy of both specialists and generalists by more than 33%, but exacerbated the gap in the diagnostic accuracy of generalists across skin tones. These results demonstrate that well-designed physician–machine partnerships can enhance the diagnostic accuracy of physicians, illustrating that success in improving overall diagnostic accuracy does not necessarily address bias.

Visibility of Board-Certified Dermatologists on TikTok.

Tik Tok is an emerging social media platform that provides a novel opportunity for health practitioners such as dermatologists to disseminate accurate health information.

A survey on the cosmetic use of injectable polynucleotide: The pattern of practice among Korean Dermatologists.

Skin boosters denote injectables that promote global improvement of the skin which includes skin texture, elasticity, hydration, and overall appearance. Polynucleotide (PN) products have become popular, but there is surprisingly little guidance on their use. We aimed to maximize the safety and efficacy of injectable PN by providing information on their pattern of practice among board-certified dermatologists. A total of 235 Korean board-certified dermatologists familiar with skin boosters participated in a survey which questioned the participant's years of practice, selection of skin boosters in one's clinic, and range of lasers and light sources as well as skin care devices that are available. For those who use PN, one was asked to check all its aesthetic indications, mode of delivery, injection depth, treatment interval as well as options for combined therapy. Seventy-one percent of the survey participants had at least 5 years of professional experience as a board-certified dermatologist, and among the different skin boosters, 88% replied that they practiced PN injection. The top six indications for PN were fine lines on the cheek followed by infraorbital fine lines, periorbital fine lines, uneven skin texture, dry skin, and fine lines on the forehead. Many opted for a 33G needle and the serial puncture technique targeting the dermis. A total of three sessions of PN injection spaced 4 weeks apart is most often recommended. 79 percent of PN users blended PN injection with lasers and light therapy with the most popular being radiofrequency (non-invasive, needle RF) and high-intensity focused ultrasound (HIFU). PN is a skin booster which is widely practiced among Korean dermatologists. According to our survey, the best indication of PN is facial fine lines, and as such PN injection is often repeated and combined with a variety of non-surgical rejuvenation procedures. We hope our data help dermatologists better understand and utilize PN injection.

Exploring dermatologists' perspectives on vaccines in dermatology: a qualitative study.

Vaccination rates among adults in the United States, including dermatology patients, remain suboptimal. Previous research has concluded that outpatient specialty offices often have administrative and patient-related barriers to administering vaccines in their clinics, however, this has never been examined specifically in dermatology. This study aims to examine dermatologists' perspectives on vaccine education in dermatology clinics, identify facilitators and barriers to vaccine administration in dermatology clinics, and explore strategies to improve vaccination rates in dermatology patients. Virtual, semi-structured interviews were conducted with board-certified dermatologists to explore their perspectives on vaccines in dermatology clinic. The Consolidated Framework for Implementation Research was used to analyze the data. Participating dermatologists were 60% female (n = 9) and 40% male (n = 6) and had a median of 7years of clinic experience (min-max: 3-39years). Vaccine education emerged as one of the prominent themes during the interview with dermatologists, who emphasized the importance of comprehensive vaccine education for both healthcare providers and patients. Barriers identified encompassed patient hesitancy, lack of provider knowledge, resource limitations, and logistical challenges. Dermatologists proposed solutions such as standardized protocols, improved patient communication, enhanced coordination with other healthcare providers, and increased clinic resources. These results emphasize that dermatologists can play a crucial role in advocating for and addressing preventative care through vaccine implementation and provide a high-level framework to think about implementation. Additionally, this study highlights the need for comprehensive vaccine education, systematic implementation strategies, and organizational support within dermatology clinics to improve vaccine administration for patients.

Long-term maintenance treatment of rosacea: experts' opinion.

Rosacea is a chronic inflammatory dermatosis characterized by remissions and flares. Although the rosacea active treatment phase is well established, the long-term maintenance phase is still challenging. To discuss and make recommendations on how to treat patients during the long-term maintenance phase for the main rosacea phenotypes. A panel of six board-certified Brazilian dermatologists and one American dermatologist gathered to compose a consensus based upon an initial statement on how to treat rosacea during the long-term maintenance phase based on the methodology Nominal Group Technique. The experts discussed each factor based upon an initial statement on how to treat rosacea patients in the long-term maintenance phase. A sequence of comprehensive narrative reviews was performed; a questionnaire preparation about the definition of the maintenance phase and its management was presented; an interpersonal discussion and ranking of the ideas were conducted. Recommendations were made if the specialists had 75% agreement. The maintenance treatment phase, which starts by achieving IGA 0 or 1 grades at the active phase, should be considered at least during the 9-month period after remission. The recommendations of all treatments target this period. Daily skincare regimen and sunscreen are crucial. Active treatment phase should be recommended if signs or symptoms reappear or worsen. Maintenance phase success depends on patient's adherence to daily skin care, appropriate treatments, continued follow-up with dermatologist, and self-assessment to identify new signs and symptoms indicating disease relapse.

Multicenter prospective blinded melanoma detection study with a handheld elastic scattering spectroscopy device

BackgroundThe elastic scattering spectroscopy (ESS) device (DermaSensor Inc., Miami, FL) is a non-invasive, painless, adjunctive tool for skin cancer detection. ObjectivesTo investigate the performance of the ESS device in the detection of melanoma. MethodsA prospective, investigator-blinded, multicenter study was conducted at 8 United States (US) and 2 Australian sites. All eligible skin lesions were clinically concerning for melanoma, examined with the ESS device, subsequently biopsied according to dermatologists’ standard of care, and evaluated with histopathology. A total of 311 participants with 440 lesions were enrolled, including 44 melanomas (63.6% in situ and 36.4% invasive) and 44 severely dysplastic nevi. ResultsThe observed sensitivity of the ESS device for melanoma detection was 95.5% (95% CI, 84.5%-98.8%, 42 of 44 melanomas), and the observed specificity was 32.5% (95% CI, 27.2%-38.3%). The positive and negative predictive values were 16.0% and 98.1%, respectively. LimitationsThe device was tested in a high-risk population with lesions selected for biopsy based on clinical and dermoscopic assessments of board-certified dermatologists. Most enrolled lesions were pigmented. ConclusionThe ESS device’s high sensitivity and NPV for the detection of melanoma suggest the device may be a useful adjunctive, point-of-care tool for melanoma detection.

Deep convolutional neural network with fusion strategy for skin cancer recognition: model development and validation

We aimed to develop an accurate and efficient skin cancer classification system using deep-learning technology with a relatively small dataset of clinical images. We proposed a novel skin cancer classification method, SkinFLNet, which utilizes model fusion and lifelong learning technologies. The SkinFLNet's deep convolutional neural networks were trained using a dataset of 1215 clinical images of skin tumors diagnosed at Taichung and Taipei Veterans General Hospital between 2015 and 2020. The dataset comprised five categories: benign nevus, seborrheic keratosis, basal cell carcinoma, squamous cell carcinoma, and malignant melanoma. The SkinFLNet's performance was evaluated using 463 clinical images between January and December 2021. SkinFLNet achieved an overall classification accuracy of 85%, precision of 85%, recall of 82%, F-score of 82%, sensitivity of 82%, and specificity of 93%, outperforming other deep convolutional neural network models. We also compared SkinFLNet's performance with that of three board-certified dermatologists, and the average overall performance of SkinFLNet was comparable to, or even better than, the dermatologists. Our study presents an efficient skin cancer classification system utilizing model fusion and lifelong learning technologies that can be trained on a relatively small dataset. This system can potentially improve skin cancer screening accuracy in clinical practice.

Analysis of Artificial Intelligence-Based Approaches Applied to Non-Invasive Imaging for Early Detection of Melanoma: A Systematic Review.

Melanoma, the deadliest form of skin cancer, poses a significant public health challenge worldwide. Early detection is crucial for improved patient outcomes. Non-invasive skin imaging techniques allow for improved diagnostic accuracy; however, their use is often limited due to the need for skilled practitioners trained to interpret images in a standardized fashion. Recent innovations in artificial intelligence (AI)-based techniques for skin lesion image interpretation show potential for the use of AI in the early detection of melanoma. The aim of this study was to evaluate the current state of AI-based techniques used in combination with non-invasive diagnostic imaging modalities including reflectance confocal microscopy (RCM), optical coherence tomography (OCT), and dermoscopy. We also aimed to determine whether the application of AI-based techniques can lead to improved diagnostic accuracy of melanoma. A systematic search was conducted via the Medline/PubMed, Cochrane, and Embase databases for eligible publications between 2018 and 2022. Screening methods adhered to the 2020 version of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Included studies utilized AI-based algorithms for melanoma detection and directly addressed the review objectives. We retrieved 40 papers amongst the three databases. All studies directly comparing the performance of AI-based techniques with dermatologists reported the superior or equivalent performance of AI-based techniques in improving the detection of melanoma. In studies directly comparing algorithm performance on dermoscopy images to dermatologists, AI-based algorithms achieved a higher ROC (>80%) in the detection of melanoma. In these comparative studies using dermoscopic images, the mean algorithm sensitivity was 83.01% and the mean algorithm specificity was 85.58%. Studies evaluating machine learning in conjunction with OCT boasted accuracy of 95%, while studies evaluating RCM reported a mean accuracy rate of 82.72%. Our results demonstrate the robust potential of AI-based techniques to improve diagnostic accuracy and patient outcomes through the early identification of melanoma. Further studies are needed to assess the generalizability of these AI-based techniques across different populations and skin types, improve standardization in image processing, and further compare the performance of AI-based techniques with board-certified dermatologists to evaluate clinical applicability.

The distribution of industry payments among pediatric dermatologists from 2015 to 2021.

To understand the landscape of industry payments to pediatric dermatologists to foster transparency and identify potential disparities in funding. Using the Centers for Medicare and Medicaid Services (CMS) Open Payments database, a national cross-sectional study was performed examining payments to pediatric dermatologists from 2015 to 2021. Of the 147 pediatric dermatologists who received industry funding, 35 were male and 112 were female. $9 million in payments was amassed, with 10% of pediatric dermatologists accounting for 94% of total industry payments. Consulting was the most common service, with Pfizer Inc., Amgen Inc., and Regeneron Healthcare Solutions Inc. representing the top three companies. Mean payment was $143,836 for males and $35,943 for females (p < .001). Eight female and seven male pediatric dermatologists received payments in the top 10th percentile, with different average payment in this subgroup (females $447,588 vs. males $698,746, p = .03). 11 states did not have a pediatric dermatologist receiving industry payments, while California (19) and Texas (12) had the most. There are approximately 400 board-certified pediatric dermatologists in the United States and fewer than 40% are receiving monetary compensation from private industry. A fraction of physicians accounted for a majority of total industry payments and industry payments to male pediatric dermatologists were higher despite nearly triple the number of female pediatric dermatologists. With the rise of valuable partnerships between healthcare and industry in modern medicine, the implications of geographic, gender, and financial disparity of industry payments in pediatric dermatology are worthy of further study.

Keratosis Pilaris: Treatment Practices of Board-Certified Dermatologists.

Keratosis pilaris (KP) is a chronic disorder of follicular hyperkeratinization and perifollicular erythema with lesions affecting the extensor surfaces of arms, upper legs, and buttocks. While there is some evidence that laser therapies and topical therapies such as lactic acid reduce the follicular papules of KP, support is limited with respect to which topical treatments dermatologists utilize and their perception of efficacy. A 16-question survey was distributed to a random sampling of the ODAC Conference listserv to determine which topical treatments dermatologists utilize the most, the duration of therapy needed with various treatment modalities, and the effectiveness of topical and laser therapy for treating KP. Our study found topical lactic acid is the most used first-line therapy for KP (43.63% of survey respondents), followed by salicylic acid (20.72%). Laser therapy is only utilized by 8.76% of survey respondents, with a lack of insurance coverage and proper equipment limiting its use. KP is often recalcitrant to treatment, and our study demonstrated that over 60% of respondents found recurrence of KP lesions within three months of stopping salicylic acid treatment and OTC moisturizer treatment. The data herein can be used to better utilize the selection of topical and laser therapies for the treatment of KP. J Drugs Dermatol. 2023;22(10):985-989 doi:10.36849/JDD.7534.

The Relevant Oral Burden of Patients with Hidradenitis Suppurativa.

Interleukin-17 plays a pivotal role in both hidradenitis suppurativa (HS) and in maintaining oral homeostasis, but their potential link remains unknown. Thus, we aimed to evaluate and quantify the oral burden of patients with HS. In this real-life, multicenter, cross-sectional study, patients with HS were clinically evaluated by two board-certified dermatologists and two board-certified dentists. Oral comorbidities were carefully collected with medical history and therapeutic information. A total of 102 patients (44.0 ± 0.9years, body mass index 27.0 ± 2.2kg/m2) were enrolled. Remarkably, 48% and 43% did not undergo at least an oral hygiene or a dental visit each year, respectively. Oral disorders were found in 55.9% of patients with HS, in particular 39.2% had caries and 46.7% reported at least one missing tooth. The main oral manifestations in patients with HS were recurrent aphthous stomatitis (N = 19, 19.2%), amalgam tattoo (N = 14, 14.1%), leukoplakia (N = 11, 11.1%), nicotinic stomatitis (N = 9, 9.1%), papilloma (N = 8, 8.1%), and geographic tongue (N = 8, 8.1%). Whilst the main predictor of oral pathological conditions was Hurley staging (P = 0.0276), multivariate regression analysis indicated that gender and International Hidradenitis Suppurativa Severity Score System (IHS4) were the main predictors for the presence of caries and number of missing teeth. As a result of the relevant oral burden in patients with HS, dentists should be part of the multidisciplinary team and oral education should be promoted among patients with HS.

English version of Japanese guidance for biologics in treating atopic dermatitis.

This is the English version of the Japanese guidance for biologics in treating atopic dermatitis (AD). The signaling pathway mediated by interleukin (IL)-4 and IL-13 contributes to type 2 inflammatory responses and plays an important role in the pathogenesis of AD. IL-31 is a cytokine mainly produced by activated T cells and is known to be involved in the pruritus of AD. Biologics for AD have been approved, including dupilumab, an anti-IL-4 receptor α antibody that was approved for expanded use in AD in 2018. In 2022, nemolizumab, an anti-IL-31 receptor α antibody, was approved for pruritus of AD, and tralokinumab, an anti-IL-13 antibody, was approved for AD. Physicians who intend to use these drugs should sufficiently understand and comply with the contents of the guidelines prepared by the Japanese Ministry of Health, Labour, and Welfare to promote the optimal use of the drugs. In treatment with biologics, it is important to consider disease factors (activity and severity), treatment factors (dosage and administration as well as the efficacy and safety), and patients' background characteristics (age and comorbidities) and share this information with patients when choosing treatment options. This guidance was developed for board-certified dermatologists who specialize in treating AD, and for promoting the proper use of biologics, taking into account the variety of factors in individual patients.

Exploring the Potential and Limitations of Chat Generative Pre-trained Transformer (ChatGPT) in Generating Board-Style Dermatology Questions: A Qualitative Analysis.

This article investigates the limitations of Chat Generative Pre-trained Transformer (ChatGPT), a language model developed by OpenAI, as a study tool in dermatology. The study utilized ChatPDF, an application that integrates PDF files with ChatGPT, to generate American Board of Dermatology Applied Exam (ABD-AE)-style questions from continuing medical education articles from the Journal of the American Board of Dermatology. A qualitative analysis of the questions was conducted by two board-certified dermatologists, assessing accuracy, complexity, and clarity. Out of 40 questions generated, only 16 (40%) were deemed accurate and appropriate for ABD-AE study preparation. The remaining questions exhibited limitations, including low complexity, lack of clarity, and inaccuracies. The findings highlight the challenges faced by ChatGPT in understanding the domain-specific knowledge required in dermatology. Moreover, the model's inability to comprehend the context and generate high-quality distractor options, as well as the absence of image generation capabilities, further hinders its usefulness. The study emphasizes that while ChatGPT may aid in generating simple questions, it cannot replace the expertise of dermatologists and medical educators in developing high-quality, board-style questions that effectively evaluate candidates' knowledge and reasoning abilities.

Skincare from the inside out: a pilot project addressing social determinants of health through dermatology.

Many women's shelters across the nation have programs that emphasize and empower women through career workshops and skills training. However, what is not typically addressed is their dermatological and mental health needs, which are equally important. Through this pilot project, we aim to address the diverse interrelated issues concerning the whole woman and her body/mind systems including skin cancer awareness, skincare, healthy sun habits, self-esteem, mental health, and stress management. By addressing the woman holistically, we hope to positively impact the way she views and values herself. We partnered with a local women's shelter to host a seminar focused on dermatological and mental health education. Pre- and post-seminar surveys were collected from participants. Surveys were anonymous and aimed to evaluate the success and efficiency of the workshop to guide and improve future seminars. The seminar had three workshops: skin cancer and sun protection, skincare, and mental health and wellness. Upon completion of the seminar, the attendees were provided with the opportunity to receive free skin examinations by two board-certified dermatologists, and referrals were made to Northeast Ohio Medical University's Student-Run Free Clinic. Upon completion of the seminar, attendees were provided with items such as sunscreen, skincare, and mental health resources. The "Skincare from the Inside Out" pilot project proved to be beneficial to residents of both Norma Herr Women's Shelter. Limitations of this study were the small sample size (n = 15), due to participation limitations during the COVID-19 pandemic. Ultimately, to reduce the morbidity and mortality of dermatologic conditions associated with homelessness, it is imperative to address upstream social determinants of health. Future development of this pilot project will aim toward educating medical professionals on the unique and complex dermatologic and mental health needs of women experiencing homelessness.