Medical Research Articles

Clinical efficacy and gene chip expression analysis of Shenzhu Guanxin recipe granules in patients with intermediate coronary lesions.

To evaluate the clinical efficacy and safety of Shenzhu Guanxin recipe granules (, SGR) in treating patients with intermediate coronary lesions (ICL), and to investigate the potential mechanism though a transcriptome sequencing approach. ICL patients with Qi deficiency and phlegm stasis were adopted and randomly assigned to a case group or a control by random number generator in a 1:1 randomization ratio to evaluate the clinical efficacy. There was no significant difference between the two groups in coronary computed tomography angiography related indexes in the two groups before and after intervention. Through the gene chip expression analysis, it is finally concluded that there are 355 differential mRNAs (190 up-regulated genes and 165 down regulated genes) when compared the SGR group and placebo group. Through protein-protein interaction network analysis of differentially expressed genes, 10 hub genes were finally obtained: CACNA2D2, CACNA2D3, DNAJC6, FGF12, SGSM2, CACNA1G, LRP6, KIF25, OXTR, UPB1. SGR combined with Western Medicine can be safely used to treat ICL patients with Qi deficiency and phlegm stasis. The possible mechanism of action and relevant gene loci and pathway were proposed.

Healing Arts

Healing Arts

Enhanced convolutional neural network enabled optimized diagnostic model for COVID-19 detection

Computed tomography (CT) films are used to construct cross-sectional pictures of a particular region of the body by using many x-ray readings that were obtained at various angles. There is a general agreement in the medical community at this time that chest CT is the most accurate approach for identifying COVID-19 disease. It was demonstrated that chest CT had a higher sensitivity than reverse transcription polymerase chain reaction (RT-PCR) for the detection of COVID-19 illness. This article presents gray-level co-occurrence matrix (GLCM) texture feature extraction and convolutional neural network (CNN)-enabled optimized diagnostic model for COVID-19 detection. In this diagnostic model, CT scan images of patients are given as input. Firstly, GLCM algorithm is used to extract texture features from the CT scan images. This feature extraction helps in achieving higher classification accuracy. Classification is performed using CNN. It achieves higher accuracy than the k-nearest neighbors (KNN) algorithm and multi-layer preceptor (MLP). The accuracy of GLCM based CNN is 99%, F1 score is 99% and the recall rate is also 98%. CNN has achieved better results than MLP and KNN algorithms for COVID-19 detection.

Association of Sex and Trends in Guideline-directed Medical Therapy Use Among Patients Undergoing Intervention for Infrainguinal Peripheral Artery Disease in the Vascular Quality Initiative, 2010-2023

Association of Sex and Trends in Guideline-directed Medical Therapy Use Among Patients Undergoing Intervention for Infrainguinal Peripheral Artery Disease in the Vascular Quality Initiative, 2010-2023

Towards a disease prediction system: BioBERT-based medical profile representation

<p>Healthcare professionals are increasingly interested in predicting diseases before they manifest, as this can prevent more serious health conditions and even save lives. Machine learning techniques are now playing an important role in healthcare, including in the early prediction of diseases based on prior medical knowledge. However, one of the biggest challenges is how to represent medical information in a way that can be processed by machine learning algorithms. Medical histories are often in a format that computers cannot read, so filtering and converting this information into numerical representations is a crucial step. This process has become easier with the advancement of natural language processing techniques. In this paper, we propose three representations of medical information, two of which are based on BioBERT, the latest text representation techniques for the biomedical sector. The efficiency of these representations is tested on the MIMIC-III database, which contains information on 46,520 patients. The focus of the study is on predicting Coronary Artery Disease, and the results demonstrate the effectiveness of the proposed approach. The study highlights the importance of medical history in disease prediction and demonstrates the potential of machine learning techniques to advance healthcare.</p>

GARLIC: Nature's potent antifungal and antibacterial ally - cream formulation and evaluation

In the pursuit of effective and safe treatments for infectious diseases, herbal remedies have garnered significant attention due to their diverse phytochemical composition and potential therapeutic properties. This study aimed to explore the phytochemical profile and evaluate the antibacterial and antifungal properties of herbal garlic extracts. Traditional natural products continue to be sought after for their bioactive compounds, which offer promising avenues for therapeutic intervention in both human and veterinary medicine. Our investigation not only sheds light on the regional variation of stomach disease occurrence, highlighting the role of dietary factors, but also underscores the importance of herbal preparations in medicinal practice. By combining various plant classes, herbal formulations can exert localized effects upon application, penetrating the skin or mucous membranes to target underlying conditions. The effectiveness of these combined medications may lie in their synergistic mechanisms, offering a comprehensive therapeutic approach. This research contributes valuable insights into the potential of herbal remedies as adjuncts or alternatives to conventional treatments, paving the way for further exploration in infectious disease management and prevention strategies.

Meta-analysis on clinical efficacy of ringheaded thumbtack needle in the treatment of allergic rhinitis.

To evaluate the efficacy and safety of ringheaded thrumbtack needle in the treatment of allergic rhinitis (AR). Clinical studies about treatment of AR with ringheaded thrumbtack needle were searched from databases of CNKI, Wanfang, China Science and Technology Journal, China Biology Medicine disc, PubMed, Embase and Web of Science from their inception to November 2022. Two researchers independently screened the literature and collected related information. The total effective rate, visual analogue scale (VAS) for AR, rhinoconjunctivitis quality of life questionnaire (RQLQ), and recurrence rate were the main outcome indicators. Secondary outcome indicators included quantitative scores of symptoms and signs, 'quartering' symptom evaluation scale, etc. All the included studies were subjected to Meta-analysis using Stata software. A total of 22 clinical studies involving 1 491 participants were included. The results of Meta-analysis indicated that the total effective rate of ringheaded thrumbtack needle in the treatment of AR was higher than that of traditional Chinese and Western medicine ［RR=1.20, 95%CI (1.14, 1.26), P<0.001］, and recurrence rate is lower than conventional therapy ［OR=0.35, 95%CI (0.14, 0.89), P=0.027］. Moreover, The VAS score ［WMD=-1.30, 95%CI (-1.85, -0.75), P<0.001］ and RQLQ score ［WMD=-6.75, 95%CI (-12.74, -0.76), P=0.027］ of AR treated by ringheaded thrumbtack needle were lower than those of traditional Chinese and Western medicine. Ringheaded thrumbtack needle can improve the total effective rate, reduce the disease recurrence, and improve the symptoms of discomfort when AR outbreaks, and has no significant adverse reactions. However, the reliability is limited. Thus, it is still necessary to improve the level of evidence quality by including researches with large samples, rigorous design and international standards.

Perioperative Cannabis Use in Bariatric Patients: A Review of Outcomes and Proposed Clinical Pathway for Management.

Legalization of marijuana has led to increased prevalence of medical and recreational cannabis use, underscoring the importance for anesthesiologists, surgeons, and perioperative physicians to understand the effects of this drug in patient care. Bariatric surgical patients represent a unique target population to understand peri-operative cannabis use and its effects as these patients undergo an extensive preoperative psychological and nutritional evaluation. Standardized guidelines on cannabis use in bariatric surgery are lacking and many clinicians remain uncertain on how to handle cannabis use in the peri-operative period. Here, we summarize the data on cannabis use in bariatric patients, specifically exploring anesthetic considerations, weight loss, complications, mortality, and psychiatric outcomes. We propose a clinical pathway to assist clinicians with perioperative decision making in bariatric patients who use marijuana.

Is Chinese Medicine Facing a Potential Workforce Crisis in Australia? Demographic Changes in the Profession over the Last Decade.

Background: As a prominent part of complementary and alternative medicine, Chinese Medicine (CM) has proved its strengths in treating a diverse range of acute and chronic medical conditions and is at present recognized in 196 countries and territories worldwide. In 2012, Australia regulated the CM profession under the National Regulation and Accreditation Scheme (NRAS) by legislation and reports quarterly demographic information about individual CM practitioners so to ensure public interest, although research examining the change of CM workforce in Australia has been scarce. Objective: This study aims to investigate the construction of the CM workforce in Australia and more importantly, evaluated its development in the last decade to capture the trajectory and trend in the present period and future potential changes. Methods: Data were sourced from the Australian Health Practitioner Regulation Agency (AHPRA) annual reports and the Chinese Medicine Board of Australia (CMBA) registration statistics from 2012 to 2023. A descriptive analysis was conducted with demographic variables, including profession, age, and gender, and chi-square tests and linear regression modeling were carried out to assess the variations between regions and across years. Results: The population of CM practitioners in 2022/2023 stagnated with slight decrease to 4,823, in contrast to the increase rate of 2.9% in the whole health care community. The number of young CM registrants (<35 y) shrank by 37.5% from 691 in 2012 to 432 in 2023. In comparison with other health care professions, CM comprises the smallest proportion of the population aged younger than 25 (0.2%) and the largest proportion aged older than 65 years (16.2%), advancing into an aging era. Conclusions: This study indicates a worrying potential decline in CM workforce in Australia, which is likely to be further exacerbated by the lack of new graduates and rise of median age among practitioners. Meanwhile, continued advancement in Western medicine technology and standards requires substantial efforts to increase both a better understanding of CM and demonstration of its efficacy. Furthermore, greater effort is needed to recruit and educate new young CM practitioners in Australia and to broaden the international training pipeline for a sustainable development of CM practice.

Building Trustworthy Generative Artificial Intelligence for Diabetes Care and Limb Preservation: A Medical Knowledge Extraction Case.

Large language models (LLMs) offer significant potential in medical information extraction but carry risks of generating incorrect information. This study aims to develop and validate a retriever-augmented generation (RAG) model that provides accurate medical knowledge about diabetes and diabetic foot care to laypersons with an eighth-grade literacy level. Improving health literacy through patient education is paramount to addressing the problem of limb loss in the diabetic population. In addition to affecting patient well-being through improved outcomes, improved physician well-being is an important outcome of a self-management model for patient health education. We used an RAG architecture and built a question-and-answer artificial intelligence (AI) model to extract knowledge in response to questions pertaining to diabetes and diabetic foot care. We utilized GPT-4 by OpenAI, with Pinecone as a vector database. The NIH National Standards for Diabetes Self-Management Education served as the basis for our knowledge base. The model's outputs were validated through expert review against established guidelines and literature. Fifty-eight keywords were used to select 295 articles and the model was tested against 175 questions across topics. The study demonstrated that with appropriate content volume and few-shot learning prompts, the RAG model achieved 98% accuracy, confirming its capability to offer user-friendly and comprehensible medical information. The RAG model represents a promising tool for delivering reliable medical knowledge to the public which can be used for self-education and self-management for diabetes, highlighting the importance of content validation and innovative prompt engineering in AI applications.

Building a Patient Navigation Program to Improve the Student and Patient Experience at a Student-Run Free Clinic

Introduction: Patient navigation programs improve patients’ access to care. The existing literature on patient navigation programs affiliated with Student-run Free Clinics (SRFCs) is limited. The Patient Navigation Program (PNP) was developed to give health professions students early experience in patient-centered care while helping patients overcome barriers to care. First-year student volunteers at our SRFC, the Delivering Equal Access to Care (DEAC) clinic, have limited opportunities to participate in direct patient care. A subset of our patient population faces additional challenges accessing health-related services, resulting in a need for coordinated care. This descriptive report describes a sustainable patient navigation program designed to improve the student and patient experience at an SRFC. Methods: One medical director and three third-year medical students supervised all participants. First-year students from the Doctor of Medicine (MD) and Physician Associate (PA) programs applied for Patient Navigator (PN) positions, and upper-level students from the MD and PA programs applied for Navigation Manager (NM) positions. Two mandatory student trainings were provided, one led by the program’s medical director and the other by an associate professor in Psychiatry and Behavioral Medicine. Patients were referred from the primary care service. A voluntary, program satisfaction survey was emailed to PNs at the end of the year. Results: Seven of the eight PNs completed their 12-month commitment and one PN transitioned into another DEAC clinic leadership role before the end of the year. Seven PNs completed the survey, and all indicated wanting to stay involved with the program in some capacity. Four of seven (57%) respondents were interested in continuing with their current patient due to perceived ongoing needs. Perceived impact of PNP on patients’ health includes obtaining additional health services, reliable transportation, and someone to discuss health concerns. Discussion: Over half of PNs joined DEAC clinic leadership at the end of their 12-month commitment, pointing to the potential of patient navigator programs to develop committed leaders at SRFCs. Building a sustainable program like PNP at another SRFC is feasible and has potential for meaningful student and patient impact.

2024 Survey of Shelter Medicine Veterinary Compensation

Compensation in the field of shelter veterinary medicine is not well understood. Two previous surveys (2011 and 2018) have been conducted. In 2018, full-time shelter veterinarians employed in a clinical capacity had a median salary of $92,000 (IQR 80,000 - 110,000), while part-time shelter veterinarians had a median wage of $48/hour (IQR 36-66) for a median of 26 hours of work; academic shelter veterinarians had a median salary of $108,000 (IQR 90,000-120,000), while veterinarians employed in shelter leadership had a median salary of $120,000 (IQR 110,000-198,000). In 2018 the AVMA reported the median salary of all private practice veterinarians was $92,000 ($95,000 companion animal exclusive), and in 2022, it was $137,000 ($140,000 companion animal exclusive). The anonymous survey was distributed through various channels, including social media, message boards, and specialty listservs, similar to the 2018 survey. The survey was open for participation from January 4th to 31st 2024. Shelter veterinarians primarily working in the United States were categorized into four employment groups: part-time shelter-employed veterinarian, full-time shelter-employed veterinarian (35 hours per week or more), academic shelter medicine faculty, and shelter leadership/consultants. Salaries of interns and residents (2 respondents) were excluded from the analysis. There were 314 responses, with 299 from veterinarians working in/with shelters in the United States. Among these, 258 were engaged in clinical work with/for one or more shelter organizations, with 198 working full-time and 60 part-time. Eighteen respondents were from academia, and 23 were in shelter leadership or consulting roles. The median salary for full-time veterinarians in clinical roles was $122,500 (IQR 105,000 - 140,000; range 65,000 - 246,000), a 25% increase from 2018. Part-time veterinarians in clinical roles reported a wage of $85/hour (IQR 63 - 104; range 27 - 313) for a median of 24 hours (IQR 16 - 31), reflecting a 77% increase in hourly wage and an 8% decrease in hours. Academic shelter medicine veterinarians had a median salary of $130,000 (IQR 108,000 - 140,000; range 70,000 - 150,000), a 20% increase. The median salaries for different academic ranks were: Instructors $103,000, Assistant Professors $116,000, Associate Professors $134,000, and Professors $150,000. Veterinarians in consulting or leadership positions had a median salary of $168,000 (IQR 145,000 - 200,000; range 105,000 - 254,000), a 40% increase. All salaries increased, with the full-time salary for veterinarians employed in leadership or consulting increasing the most and salaries for veterinarians in academia increasing the least. The per-hour rate increased dramatically for part-time veterinarians, and they reported working a median of two fewer hours per week. Similar to the 2018 results, shelter veterinarians in leadership positions had the highest income, followed by academic shelter veterinarians. Salaries for clinically employed shelter veterinarians were 5% less than AVMA-reported 2022 salaries for all private practice veterinarians and 7% lower than for companion animal veterinarians.

The inability to belch: a neglected disease in the era of high-resolution esophageal manometry.

Retrograde upper esophageal sphincter dysfunction (R-UESD) is characterized by the inability to belch. Evidence of using high-resolution manometry (HRM) in diagnosing R-UESD has emerged in recent years. We describe the clinical picture and HRM patterns of two patients with R-UESD. Case 1: A 23-year-old female presented with a two-year complaint of inability to belch. We performed HRM with a belch provocation test for which the patient drank 500 ml of carbonated water. The study revealed increased esophageal pressure, an absence of UES relaxation and secondary peristalsis once the patient mentioned the need to belch. Case 2: A 21-year-old male presented to our medical office with a history of an incapacity to belch during the last three years. We performed HRM with a belch provocation test. During the study, he reported an incapacity to belch and his symptoms coincided with increased esophageal pressure, an absence of UES relaxation, and secondary peristalsis. Retrograde upper esophageal sphincter dysfunction is a rare condition characterized by a lack of UES relaxation during esophageal distension. The incapacity to belch is the hallmark of the disease. We encourage the use of HRM, looking for an increase in esophageal pressure to the level of gastric pressure, failure of UES relaxation with consequently no venting of air across the UES, and secondary peristalsis. In conclusion, diverse R-UESD clinical presentations represent a diagnostic challenge for physicians. This case series highlights the need to actively search for typical HRM findings when encountering patients referring an incapacity to belch.

Feasibility of a novel augmented reality overlay for cervical screw placement in phantom spine models.

Feasibility study. A phantom model was used to evaluate the accuracy of a novel augmented reality (AR) system for cervical screw placement. The use of navigation systems is becoming increasingly common in spine procedures. However, numerous factors limit the feasibility of regular and widespread use of navigation tools during spine surgery. AR is a new technology that has already demonstrated utility as a navigation tool during spine surgery. However, advancements in AR technology are needed to increase its adoption by the medical community. AR technology that uses a fiducial-less registration system was tested in a preclinical cervical spine phantom model study for accuracy during spinal screw placement. A three-dimensional reconstruction of the spine along with trajectory lines was superimposed onto the phantom model using an AR headset. Participants used the AR system to guide screw placement, and post-instrumentation scans were compared for accuracy assessment. Twelve cervical screws were placed under AR guidance. All screws were placed in an acceptable anatomic position. The average distance error for the insertion point was 2.73±0.55 mm, whereas that for the endpoint was 2.71±0.69 mm. The average trajectory angle error for all insertions was 2.69°±0.59°. This feasibility study describes a novel registration approach that superimposes spinal anatomy and trajectories onto the surgeon's real-world view of the spine. These results demonstrate reasonable accuracy in the preclinical model. The results of this study demonstrate that this technology can assist with accurate screw placement. Further investigation using cadaveric and clinical models is warranted.

Osteoarthritis, adipokines and the translational research potential in small animal patients

Osteoartritis (OA) is a debilitating disease affecting both humans and animals. In the early stages, OA is characterized by damage to the extracellular matrix (ECM) and apoptosis and depletion of chondrocytes. OA progression is characterized by hyaline cartilage loss, chondrophyte and osteophyte formation, thickening of the joint capsule and function loss in the later stages. As the regenerative potential of cartilage is very limited and osteoarthritic changes are irreversible, prevention of OA, modulation of existing osteoarthritic joint inflammation, reducing joint pain and supporting joint function are the only options. Progression of OA and pain may necessitate surgical intervention with joint replacement or arthrodesis as end-stage procedures. In human medicine, the role of adipokines in the development and progression of OA has received increasing interest. At present, the known adipokines include leptin, adiponectin, visfatin, resistin, progranulin, chemerin, lipocalin-2, vaspin, omentin-1 and nesfatin. Adipokines have been demonstrated to play a pivotal role in joint homeostasis by modulating anabolic and catabolic balance, autophagy, apoptosis and inflammatory responses. In small animals, in terms of dogs and cats, naturally occurring OA has been clearly demonstrated as a clinical problem. Similar to humans, the etiology of OA is multifactorial and has not been fully elucidated. Humans, dogs and cats share many joint related degenerative diseases leading to OA. In this review, joint homeostasis, OA, adipokines and the most common joint diseases in small animals leading to naturally occurring OA and their relation with adipokines are discussed. The purpose of this review is highlighting the translational potential of OA and adipokines research in small animal patients.

The impact of gendered experiences on the career choice of swiss medical students: A qualitative study protocol.

The problem of gender discrimination and sexual harassment in medicine is long-standing and widespread. This project aims to document and understand how gendered experiences encountered by final-year medical students in Switzerland are experienced by these individuals and how they influence their career choice. It also aims to identify representations and stereotypes linked to the different specialties. The project will take place at all Swiss universities offering a master's degree in human medicine, for a total of 9 programs. Around 36 participants will be recruited. Semi-structured qualitative individual interviews will be conducted. Analysis will be based on Grounded Theory principles.

Pathogen-epithelium interactions and inflammatory responses in Salmonella Dublin infections using ileal monolayer models derived from adult bovine organoids

Salmonella enterica serovar Dublin (S. Dublin) is an important enteric pathogen affecting cattle and poses increasing public health risks. Understanding the pathophysiology and host–pathogen interactions of S. Dublin infection are critical for developing effective control strategies, yet studies are hindered by the lack of physiologically relevant in vitro models. This study aimed to generate a robust ileal monolayer derived from adult bovine organoids, validate its feasibility as an in vitro infection model with S. Dublin, and evaluate the epithelial response to infection. A stable, confluent monolayer with a functional epithelial barrier was established under optimized culture conditions. The model’s applicability for studying S. Dublin infection was confirmed by documenting intracellular bacterial invasion and replication, impacts on epithelial integrity, and a specific inflammatory response, providing insights into the pathogen-epithelium interactions. The study underscores the utility of organoid-derived monolayers in advancing our understanding of enteric infections in livestock and highlights implications for therapeutic strategy development and preventive measures, with potential applications extending to both veterinary and human medicine. The established bovine ileal monolayer offers a novel and physiologically relevant in vitro platform for investigating enteric pathogen-host interactions, particularly for pathogens like S. Dublin.

The role of Bruton's tyrosine kinase in pathogenesis of chronic spontaneous urticaria and the prospects for the use of new treatment.

Chronic spontaneous urticaria is a fairly common disease with an unpredictable course, burdensome symptoms and a significant negative impact on patients` quality of life. Despite the established stepwise approach to treatment with antihistamines in standard and increased dosages, anti-IgE therapy, there remains a portion of patients with unsatisfactory control of urticaria symptoms, with the need to develop drugs that target new therapeutic targets. Mast cells, basophils and B cells are key cells involved in the pathogenesis of urticaria; activation, differentiation, proliferation, cytokine secretion and degranulation in all three types of cells is regulated via Bruton's tyrosine kinase signalling pathway through FcεRI and BCR receptors respectively. Inhibition of Bruton's tyrosine kinase is being developed as a new therapeutic strategy for chronic spontaneous urticaria. Here we present overview of the current understanding of chronic spontaneous urticarial`s pathogenesis, the role of Bruton's tyrosine kinase, the history of medical use of Bruton's tyrosine kinase inhibitors, as well as clinical data on the use of new Bruton's tyrosine kinase inhibitors in patients with chronic spontaneous urticaria who have not achieved adequate disease control with antihistamines.

Estimating the size and scope of the academic emergency physician workforce.

Academic emergency medicine (EM) is foundational to the EM specialty through the development of new knowledge and clinical training of resident physicians. Despite recent increased attention to the future of the EM workforce, no evaluations have specifically characterized the U.S. academic EM workforce. We sought to estimate the national proportion of emergency physicians (EPs) identified as academic and the proportion of emergency department (ED) visits that take place at academic sites. We performed a cross-sectional analysis of EPs and EDs using data from the American Hospital Association, the Centers for Medicare & Medicaid Services, and Doximity's Residency Navigator. EPs were identified as "academic" if they were affiliated with at least one facility determined to be academic, defined as EDs officially designated by the Accreditation Council for Graduate Medical Education (ACGME) as clinical training sites at accredited EM residency programs. Our primary outcomes were to estimate the national proportion of EPs identified as academic and the proportion of ED visits performed at academic sites. Our analytic sample included 26,937 EPs practicing clinically across 4920 EDs and providing care during 130,471,386 ED visits. Among EPs, 11,720 (43.5%) were identified as academic, and among EDs, 635 (12.9%) were identified as academic sites, including 585 adult/general sites, 45 pediatric-specific sites, and 10 sites affiliated with the Department of Veterans Affairs. In 2021, academic EDs provided care for 42,794,106 ED visits or 32.8% of all ED visits nationally. Approximately four in 10 EPs practice in at least one clinical training site affiliated with an ACGME-accredited EM residency program, and approximately one in three ED visits nationally occur in these academic EDs. We encourage further work using alternative definitions of an academic EPs and EDs, along with longitudinal research to identify trends in the workforce's composition.

Assessment of Artificial Intelligence Platforms With Regard to Medical Microbiology Knowledge: An Analysis of ChatGPT and Gemini.

The performance of two artificial intelligence (AI) platforms, ChatGPT 3.5 (OpenAI, California, United States) and Gemini (Google AI, California, United States) was assessed by answering 200 questions of microbiology drawn from validated sources. The questions were selected from topics such as General Microbiology, Immunology, and Microbiology Applied to Infectious Diseases. The study was conducted from December 2023 to March 2024, and the responses of the different AI platforms were compared with an answer key. Statistical analysis was performed to assess accuracy. ChatGPT 3.5 and Gemini had comparable accuracy with correct response scores of 71% and 70.5%, respectively. Their performance varied across different sections. Gemini performed better in General Microbiology and Immunology, and ChatGPT 3.5 had a better score in the Applied Microbiology section. The study's findings highlight that AI platforms such as ChatGPT and Gemini can be utilized in microbiology and medical education.The evolution and continuous updating of AI platforms are required to improve their performance.