Rapid Evaluation Research Articles

DOP077 EndoUC: an AI-assisted endoscopic Ulcerative Colitis activity grading application for deployment in clinical trials

Abstract Background Manual scoring of ulcerative colitis (UC) disease activity from endoscopy videos using the Modified Mayo Score (mMS) by experts is known to have high inter-rater and intra-rater variability.1 In clinical trials, central reviewers review endoscopy videos and provide a single score for the entire video leading to a loss of transparency with no evidence of scoring rationale or segmental involvement. We developed an AI-assisted severity scoring application for clinical trials to address this challenge by intelligently highlighting video segments showing pathological information and providing a continuous scoring approach to severity grading. Methods Unlike previous approaches that rely heavily on large-scale, expensive, and restrictive frame-level expert labels, we developed our models on video-level grading available in typical clinical trial settings. We used data from the brazikumab clinical trial [NCT03616821], comprising 423 videos from 249 patients scored on the mMS scale. Our preprocessing module removes uninformative, low-quality frames and applies detection, tracking and alignment algorithms to identify regions of interest across frames. Our EndoUC model has 3 components: a pathology-enriched frame identification module (PEFIM), an aggregator, and a classifier.The PEFIM module identifies regions that characterise signs of UC, such as ulcers or erosions. The aggregator and classifier modules learn to combine the information at the video level. We focus on the clinical utility of the EndoUC model in two ways: (i) having task-specific classifiers focusing on clinical decision boundaries of UC and (ii) enhancing scoring granularity of UC severity prediction using ordinal regression. Results We developed an application to enable experts to review lengthy endoscopy footage in clinical trials efficiently. The app allows seamless navigation to key regions identified by the EndoUC and transparently reveals the basis of the AI model’s assessments. We conducted 5-fold cross-validation on the clinical trial data and evaluated the model on a held-out test set with 87 videos. The remission (mMS 0, 1 vs 2, 3) model performs with an AUC-ROC of 0.85, F1 of 0.87, normal/inactive and severe models with AUC-ROC of 0.81and 0.83 respectively. The continuous grading model has an MSE of 0.42 and MAE of 0.40. Conclusion We developed an AI-assisted reading tool for UC endoscopic severity assessment to help accelerate clinical trails through rapid evaluation of patient eligibility, detection of treatment response grounded by key region evidence, and potential for continuous grading of endoscopic changes.

Transitioning from the safety of the womb to the outside world for neonates with life-threatening cardiovascular conditions: The IMmediate Postpartum Access to Cardiac Therapy (IMPACT) Procedure.

The IMmediate Postpartum Accessto Cardiac Therapy (IMPACT) procedure is a multidisciplinary, collaborative, highly coordinated clinical service in which a planned delivery and intensive neonatal care are offered for conditions where there is a high likelihood of postnatal instability. This process includes prenatal consultation with the parent(s), involving each service engaged with the delivery, postnatal resuscitation, and procedural care. A Cesarean section delivery is planned in an operating room with immediate access to a multifunctional procedural suite where the neonate can undergo rapid cardiac evaluation and initiation of interventional treatments which can have a positive, life-saving impact. This review describes the details of this unique procedure and multidisciplinary program at one institution.

Intraoperative Rapid On-Site Evaluation of Lung Tumors: A Diagnostic Accuracy Study.

Lung cancer remains a major health challenge, and accurate diagnosis is crucial for effective treatment. Rapid on-site evaluation (ROSE) has emerged as a valuable tool in lung cancer diagnosis. This study aims to assess the performance of ROSE in the intraoperative diagnosis of lung cancer and its correlation with the histological findings of frozen sections. A retrospective review was conducted on 414 cases of intraoperative ROSE performed during lung surgeries between 2017 and 2022. Cytological findings were classified according to the World Health Organization Reporting System for Lung Cytopathology and compared with the subsequent histological diagnoses. ROSE demonstrated a high diagnostic accuracy of 92.2%. The risk of malignancy varied across diagnostic categories, highlighting the value of ROSE in risk stratification. Only 12% of cases with a ROSE diagnosis of malignancy or suspicion of malignancy were discordant with the final histological diagnosis and only as to the specific tumor type. Rapid on-site evaluation is a reliable technique for lung cancer diagnosis, not only during EBUS or CT guided FNA but also in the setting of lung surgery, offering high accuracy and risk stratification. It contributes to improved patient management by optimizing procedures, reducing complications, and enhancing specimen quality for further analyses. ROSE is a valuable asset in the modern era of personalized medicine, facilitating tailored treatment approaches.

Rapid time-varying seismic fragility evaluation with bounded uncertainty for a novel prestressed cable-stayed steel frame based on multi-scale modeling

Rapid time-varying seismic fragility evaluation with bounded uncertainty for a novel prestressed cable-stayed steel frame based on multi-scale modeling

An adaptive Bayesian randomized controlled trial of traditional Chinese medicine in progressive pulmonary fibrosis: Rationale and study design.

Progressive pulmonary fibrosis (PPF) is a progressive and lethal condition with few effective treatment options. Improvements in quality of life for patients with PPF remain limited even while receiving treatment with approved antifibrotic drugs. Traditional Chinese medicine (TCM) has the potential to improve cough, dyspnea and fatigue symptoms of patients with PPF. TCM treatments are typically diverse and individualized, requiring urgent development of efficient and precise design strategies to identify effective treatment options. We designed an innovative Bayesian adaptive two-stage trial, hoping to provide new ideas for the rapid evaluation of the effectiveness of TCM in PPF. An open-label, two-stage, adaptive Bayesian randomized controlled trial will be conducted in China. Based on Bayesian methods, the trial will employ response-adaptive randomization to allocate patients to study groups based on data collected over the course of the trial. The adaptive Bayesian trial design will employ a Bayesian hierarchical model with "stopping" and "continuation" criteria once a predetermined posterior probability of superiority or futility and a decision threshold are reached. The trial can be implemented more efficiently by sharing the master protocol and organizational management mechanisms of the sub-trial we have implemented. The primary patient-reported outcome is a change in the Leicester Cough Questionnaire score, reflecting an improvement in cough-specific quality of life. The adaptive Bayesian trial design may be a promising method to facilitate the rapid clinical evaluation of TCM effectiveness for PPF, and will provide an example for how to evaluate TCM effectiveness in rare and refractory diseases. However, due to the complexity of the trial implementation, sufficient simulation analysis by professional statistical analysts is required to construct a Bayesian response-adaptive randomization procedure for timely response. Moreover, detailed standard operating procedures need to be developed to ensure the feasibility of the trial implementation. Please cite this article as: Zhang C, Nie YS, Zhang CT, Yang HJ, Zhang HR, Xiao W, Cui GF, Li J, Li SJ, Huang QS, Yan SY. An adaptive Bayesian randomized controlled trial of traditional Chinese medicine in progressive pulmonary fibrosis: Rationale and study design. J Integr Med. 2025; Epub ahead of print.

Breast fine-needle aspiration cytology in the era of core-needle biopsy: what is its role?

Fine-needle aspiration cytology (FNAC) has long been recognized as a minimally invasive, cost-effective, and reliable diagnostic tool for breast lesions. However, with the advent of core-needle biopsy (CNB), the role of FNAC has diminished in some clinical settings. This review aims to re-evaluate the diagnostic value of FNAC in the current era, focusing on its complementary use alongside CNB, the adoption of new approaches such as the International Academy of Cytology Yokohama System, and the implementation of rapid on-site evaluation to reduce inadequate sample rates. Advances in liquid-based cytology, receptor expression testing, molecular diagnostics, and artificial intelligence are discussed, highlighting their potential to enhance the diagnostic accuracy of FNAC. Despite challenges, FNAC remains a valuable diagnostic method, particularly in low-resource settings and specific clinical scenarios, and its role continues to evolve with technology.

A Review on the Thermal Modeling Method for Molten Salt Receivers of Concentrating Solar Power Tower Plants

Concentrating solar power (CSP) tower plants using molten salt as the heat transfer fluid are currently the predominant technology used globally, and have experienced rapid development in recent years. The molten salt receiver, as the core piece of equipment for converting solar energy into thermal energy, directly determines the system efficiency, while its safety affects the plant’s operating hours. This paper reviews the details and operational status of commercial-scale CSP tower plants worldwide as of the end of 2023. It systematically summarizes the typical thermal models for mainstream tubular molten salt receivers by reviewing 37 models, including 11 three-dimensional (3D) numerical models, 8 two-dimensional (2D) semi-empirical models, and 18 one-dimensional (1D) semi-empirical models. By comparing and analyzing the key features of each model, the study concludes that detailed 3D numerical models are effective for monitoring overheating during operation, 2D semi-empirical models enable the rapid evaluation of receiver configurations, and 1D semi-empirical models support transient mass flow calculations and annual power generation estimations. Additionally, the paper outlines the current applications of receiver thermal models in system integration, particularly in combining CSP tower systems with other energy systems.

‘That’s kind of under my work blanket’—redeployment experiences of children’s hospital staff during the covid-19 pandemic: a qualitative interview study

BackgroundDuring COVID-19 pandemic, a rapid readjustment to continued delivery of healthcare was required. Redeployment is an intentional process to mobilise human resources by reassigning a healthcare worker to a new role or new work location, to achieve sustainable delivery of patient care. We report redeployment experiences of staff from a specialist children’s hospital during first and second waves of the United Kingdom COVID-19 pandemic.MethodsThis study focuses on a specialist children’s hospital where redeployment occurred externally to adult intensive care units and other COVID-19 specific initiatives, and internally as some service activity reduced and others expanded. This was a study of staff experiences using a qualitative rapid appraisal design. Hospital staff participated in an in-depth one-to-one telephone interview. We used a semi-structured interview guide, and recorded and transcribed all interviews. Rapid Research Evaluation and Appraisal Lab sheets were used to share data; team-based analysis was facilitated using a framework approach.ResultsRecruitment and interviews took place from March-November 2021. Twenty-four staff participated: 17 nurses, five doctors and two other healthcare professionals. Interviewees articulated their experiences of redeployment both within the specialist children’s hospital and externally to other health settings (predominantly adult intensive care). Redeployment impacted staff in multiple ways professionally and personally and was reported to be both challenging and rewarding. The reality of working in different settings was felt by everyone, with unfamiliar environments, patient safety, and delivery of a more task-based model of care creating some negative experiences. We identified five main themes: (i) Drivers and Agency; (ii) Journey to Redeployment; (iii) Working Reality; (iv) Personal Impact and Support; (v) Professional Disruption.ConclusionsAlthough experience of those redeployed varied, prior background of working in intensive care settings and with adult patients, with opportunities to share practice with colleagues, mitigated challanges for our participants. Positive experiences were associated with perceptions of support received, being welcomed in the new setting, and feeling valued. This study also highlights the act of ‘volunteering’, the nature of ‘voluntariness’ and the difference that may exert on the overall redeployment experience. Future guidance would be encouraged to consider the voluntary nature of redployment.

Exploring Barrier-Free Esports for Visually Impaired and Sighted Individuals: An Examination of Rapid Key Tapping Speed

Esports involves competition conducted through online computer games, a format that allows individuals to compete together regardless of age, sex, or physique. However, due to preconceived notions about individuals with visual impairments, their abilities are occasionally underestimated or overestimated. Furthermore, while esports heavily depend on visual elements, there has been little clarification on which abilities can be performed equally by both sighted and visually impaired individuals and which abilities differ. This study examined whether rapid tapping speed, a skill potentially utilized in esports, is affected by visual impairment, testing the hypothesis that there is no significant difference in tapping speed between visually impaired and sighted individuals. By identifying skills that show no differences and those that do, this research lays the groundwork for designing environments where all participants can equally enjoy activities, including the appropriate use of handicaps. The study employed a 30 s rapid tapping speed evaluation model in which participants were asked to tap a key on a computer keyboard as quickly as possible. The total number of taps, initial speed, and speed maintenance were measured over three trials, and temporal changes, such as deceleration, were assessed. No significant differences were observed between groups in the total number of taps, initial speed, or speed maintenance, indicating that tapping speed is not dependent on visual impairment. Thus, a rapid tapping ability can be equally demonstrated by both visually impaired and sighted individuals, highlighting the potential for increasing inclusivity in esports. These findings highlight the potential for creating inclusive esports environments that accommodate visually impaired players, thereby promoting broader participation.

Simulation Framework for Detection and Localization in Integrated Sensing and Communication Systems

Integrated Sensing and Communication (ISAC) systems have emerged as a key component for Sixth Generation (6G) networks, enhancing resource efficiency and enabling diverse applications. Currently, ISAC systems have been recognized as a leading trend for future standardization, i.e., International Mobile Telecommunications (IMT)-2030. As in the previous IMT-2020 standardization, the emphasis has been on developing a methodology for assessing network conditions, with one of the crucial approaches incorporating system-level simulations. However, within this framework, there has been a notable absence of proposed abstractions for the physical layer of ISAC systems, which are valuable for system-level simulators. The physical abstraction process helps reduce computational simulation costs, enabling efficient and rapid evaluation of system conditions. Therefore, this paper aims to fill this gap by outlining the key aspects and metrics recommended for a physical layer abstraction in sensing applications within ISAC frameworks. Applying physical abstraction in the context of target localization and detection algorithms may enable an initial understanding and evaluation of ISAC system performance. These algorithms are proposed as an example of simulating the sensing functionalities to be abstracted, which are based on a stochastic geometric channel model. Orthogonal Frequency Division Multiplexing (OFDM) symbols play a crucial role in target position estimation. The findings show that doubling OFDM symbols improves the detection probability by 3 dB in terms of Signal to Noise Ratio (SNR). Finally, the proposed Physical Layer Abstraction (PLA) method produces performance metrics as figures and lookup tables tailored for system-level simulators.

Implementation research logic model in the design and execution of eHealth innovations for maternal and newborn healthcare in Ethiopia

BackgroundThe use of eHealth innovations is becoming increasingly important in improving health outcomes, especially for maternal and newborn health. However, planning and executing these innovations can be challenging due to their complex nature. To provide guidance and clarity on implementation approaches, researchers need to use implementation research (IR) tools. We conducted IR to recognize the challenges in implementing eHealth innovations in the context of maternal and newborn healthcare using the implementation research logic model (IRLM). Therefore, this paper aims to describe the practical application of IRLM to design, execute and evaluate eHealth innovations that improve maternal and newborn care in public facilities in Ethiopia.MethodsWe employed rapid review, formative assessment and process evaluation of an eHealth innovation in selected healthcare facilities serving maternal and newborn care. The eHealth innovation we developed and deployed was named ‘ADHERE’ (Antenatal Care, ChilDbirtH CarE and Postnatal CaRE), representing the continuum of maternal care. The rapid review was conducted as an initial step using the Consolidated Framework for Implementation Research (CFIR). We employed a mix of data collection methods: interview/discussion, eHealth system or document review and direct observation. Furthermore, we executed various stakeholder engagement activities: two co-creation workshops and on-site iterative discussions. We applied the Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies (FRAME-IS) to capture ongoing implementation learnings.ResultsWe developed IRLM of the eHealth innovation implementation for three contexts: urban, peri-urban and remote public healthcare facilities. The model depicted the mechanism of interaction between implementation determinants and implementation strategies to produce the intended implementation outcomes. The IRLM helped to identify more than 35 implementation barriers or facilitators for eHealth interventions and to develop over 17 mitigation strategies for the study contexts. The initial IRLM was refined through ongoing implementation learnings and the mitigation strategies that were executed.ConclusionsThe IRLM is a comprehensive and effective guiding tool for the development, implementation and evaluation of innovations in various low- and middle-income contexts. Researchers and implementing partners should adapt and use it.

GeneXpert MTB/RIF Ultra in Pediatric Tuberculosis: How Disease Characteristics Modify Test Performances.

The diagnosis of pediatric tuberculosis (TB) is challenging, due to the lower sensitivity of microbiological tests, such as culture and microscopy, compared to their performance in adult cases. Guidelines have introduced molecular tests, including GeneXpert MTB/ RIF and GeneXpert MTB/RIF Ultra. These tests use a real-time polymerase chain reaction method and provide information on M. tuberculosis detection and drug-resistance-associated mutations in less than 2 hours. This retrospective single-center study aimed to evaluate the accuracy of GeneXpert and GeneXpert Ultra for the diagnosis of pediatric TB. This retrospective study was conducted on a total of 95 children diagnosed with probable or confirmed TB disease (74 diagnosed with pulmonary TB, 21 with extrapulmonary TB), who referred to the infectious disease unit at Meyer Children's Hospital in Florence, Italy, and tested with GeneXpert MTB/RIF or GeneXpert Ultra, from 2013 to 2023. GeneXpert and GeneXpert Ultra demonstrated a detection rate of 0.357 (95% CI 0.180 to 0.535) and 0.537 (95% CI 0.417-0.657), respectively. No child was tested with both tests. Patients' characteristics, including age and sex, did not significantly influence the test's performances. Notably, GeneXpert Ultra had a significantly higher detection rate in children with extrapulmonary TB (0.813, 95% CI 0.621 to 1.004) compared to that in children with pulmonary TB (p = 0.020). Gastric aspirate was the most tested specimen. Specimens that did not require invasive procedures for collection (including stool) yielded poor results. GeneXpert and GeneXpert Ultra permitted rapid evaluation of genotypic drug-sensitivity testing (DST), even though limited to rifampicin resistance, making necessary confirmation through phenotypic DST (performed on culture). The introduction of GeneXpert and GeneXpert Ultra improved TB diagnosis in children, by providing microbiological information in a short time, complementing results from culture, which remains the reference test in pediatric TB diagnosis.

Development of rapid evaluation scale for pericardiectomy of tuberculous constrictive pericarditis by 12-lead electrocardiogram.

We developed a rapid evaluation scale for pericardiectomy through a 12-lead electrocardiogram (ECG), in order to improve the diagnostic accuracy of pericardiectomy of tuberculous constrictive pericarditis. In this study, 262 patients with tuberculous constrictive pericarditis (102 patients) and non-tuberculous constrictive pericarditis (160 patients) were selected by convenience sampling method as participants in Hangzhou Red Corss Hospital from January 2018 to April 2023. The expert validity analysis was carried out by cross-sectional investigation combined with the results of the previous expert questionnaire to establish 12-lead ECG-based the rapid evaluate scale for pericardiectomy of tuberculous constrictive pericarditis. Cronbach'α coefficient and Spearman-Brown coefficient were used for the internal consistency reliability of the scale. Exploratory factor analysis was used for structural validity. Receiver operating characteristic (ROC) was used to analyze the sensitivity and specificity of this scale. After preliminary verification, the cronbach'α coefficient and Spearman-Brown coefficient were 0.830 and 0.800, respectively. Three factors with feature roots greater than 1.0 were extracted by principal component analysis and maximum variance orthogonal rotation, and the cumulative contribution rate was 57.77%. Each loading factor ranges from 0.427 to 0.863. The sensitivity of the scale was 96.1%, the specificity was 96.9% and the Yorden Index was 93.0%. The 12-lead ECG-based rapid evaluation scale for pericardiectomy of tuberculous constrictive pericarditis has high sensitivity, specificity and accuracy, and has certain scientific research and clinical application value.

Auto-RapTAC: A Versatile and Sustainable Platform for the Automated Rapid Synthesis and Evaluation of PROTAC

Auto-RapTAC: A Versatile and Sustainable Platform for the Automated Rapid Synthesis and Evaluation of PROTAC

Prediction of Patient Drug Response via 3D Bioprinted Gastric Cancer Model Utilized Patient‐Derived Tissue Laden Tissue‐Specific Bioink

AbstractDespite significant research progress, tumor heterogeneity remains elusive, and its complexity poses a barrier to anticancer drug discovery and cancer treatment. Response to the same drug varies across patients, and the timing of treatment is an important factor in determining prognosis. Therefore, development of patient‐specific preclinical models that can predict a patient's drug response within a short period is imperative. In this study, a printed gastric cancer (pGC) model is developed for preclinical chemotherapy using extrusion‐based 3D bioprinting technology and tissue‐specific bioinks containing patient‐derived tumor chunks. The pGC model retained the original tumor characteristics and enabled rapid drug evaluation within 2 weeks of its isolation from the patient. In fact, it is confirmed that the drug response‐related gene profile of pGC tissues co‐cultured with human gastric fibroblasts (hGaFibro) is similar to that of patient tissues. This suggested that the application of the pGC model can potentially overcome the challenges associated with accurate drug evaluation in preclinical models (e.g., patient‐derived xenografts) owing to the deficiency of stromal cells derived from the patient. Consequently, the pGC model manifested a remarkable similarity with patients in terms of response to chemotherapy and prognostic predictability. Hence, it is considered a promising preclinical tool for personalized and precise treatments.

Rapid on-site evaluation using telecytology: Quality assurance study at a high-volume cancer center.

Telecytology-assisted rapid on-site evaluation (ROSE) offers a cost-effective method to enhance minimally invasive biopsies like fine needle aspiration and core biopsies with touch preparation. By reducing nondiagnostic sampling and the need for repeat procedures, ROSE via telecytology facilitates prompt triage for ancillary tests, improving patient management. This study examines cases initially deemed adequate for diagnosis during telecytology-assisted ROSE but later categorized as nondiagnostic at final evaluation (NDIS). We performed a retrospective analysis of telecytology-assisted ROSE cases over 7years at a major cancer center, focusing on fine needle aspiration and touch preparation of core biopsies. Each case was thoroughly reviewed, correlating with clinical data and concurrent core biopsies or subsequent excisions. The study identified leading factors contributing to NDIS. The average NDIS rate was 0.06% (42/70,612). Misinterpretation of benign or reactive cells as neoplastic was the leading cause (76.2%) of discrepancies between original ROSE and final diagnosis. Kidney biopsies had the highest NDIS rate (0.90%), primarily because of misinterpreting nonneoplastic cells. Thyroid biopsies were linked to quantitative threshold issues (0.10%). NDIS events were most associated with misinterpretation in kidney, pancreas, gastrointestinal tract, and lung biopsies. In conclusion, the NDIS rate in telecytology-assisted ROSE is low, but quality assurance identified areas for improvement. Recognizing site-specific pitfalls during telecytology-assisted ROSE can enhance diagnostic accuracy and optimize patient care.

The accuracy and adequacy of rapid on-site evaluation conducted by trained pulmonologist on transbronchial needle aspiration samples: a systemic review and meta-analysis.

The effective deployment of rapid on-site cytologic evaluation (ROSE) requires the availability of a cytologist/pathologist. Several studies investigated the capability of trained pulmonologists to assess the adequacy and validity of transbronchial needle aspiration (TBNA) samples. This study aimed to determine the validity and adequacy of ROSE by pulmonologists (P-ROSE). A systematic search was conducted in Embase, Cochrane, Scopus, PubMed, and Web of Science. The validity meta-analysis was conducted using Meta-Disc software V 2.0. A bivariate model was employed to perform the analysis. 14 studies were included in the review, and the collective sensitivity, specificity, negative likelihood ratio, and positive likelihood ratio with 95% CI were 89.6% (95% CI: 0.827-0.94), 95.9% (95% CI: 0.845-0.999), 0.108 (95% CI: 0.064-0.183), and 21.598 (95% CI: 5.447-85.636) respectively. P-ROSE demonstrated high accuracy for both diagnosis (80%-89.5%) and adequacy of 83.1%. Also, a high K coefficient for diagnosis and adequacy with a range (0.18-0.94) and (-0.02-0.72), respectively. Our findings showed that P-ROSE had a high sensitivity, specificity, and accuracy, which means that following a brief training session, the pulmonologists can reliably assess prepared slides from TBNA of lymph nodes and lung masses, both in terms of sample adequacy and establishing an initial diagnosis. This can be especially valuable in healthcare settings where a Pathologist/cytopathologist is not consistently available.

Usefulness of Ultrasound in the diagnosis of Septic Arthritis: about a case

Introduction. Septic arthritis in the pediatric age group is a medical emergency with serious consequences if not treated early. Early diagnosis is essential to initiate appropriate treatment and prevent permanent joint damage. Ultrasound has emerged as an essential tool for the early and accurate detection of septic arthritis, allowing for a rapid and detailed evaluation of the affected joint, especially in cases where clinical findings are subtle.Clinical Case. A 1-month-old male infant was brought by his mother to the emergency service of our hospital due to irritability and crying when changing his diaper, significant increase in the volume of the right thigh, and pain during movement. An initial ultrasound was performed, which reported signs of superficial cellulitis, and a second ultrasound was performed, which revealed thickening of the synovium, a fluid collection in the joint capsule with echoes inside it, which concluded with the diagnosis of septic arthritis of the right hip.Discussion. Ultrasound not only allowed the identification of joint effusion and synovial thickening, but was also crucial in differentiating between superficial infection (cellulitis) and deeper septic arthritis.Conclusions. The importance of our clinical case lies in the use of ultrasound as a diagnostic method to detect joint involvement early. In combination with the clinical method and microbiological studies, it becomes an important component of the diagnostic approach and timely management of septic arthritis, thus reducing associated complications

Rapid mixed-method evaluation of implementing Artificial Intelligence in chest diagnostics for lung disease

Rapid mixed-method evaluation of implementing Artificial Intelligence in chest diagnostics for lung disease

Rapid Simulation and Phase Distortion Evaluation of Thermal Blooming Effect in Internal Laser Propagation Channels

Rapid Simulation and Phase Distortion Evaluation of Thermal Blooming Effect in Internal Laser Propagation Channels