Surveys

Performance of ChatGPT, Claude, and AMBOSS on the European Board of Urology In-Service Assessment and Alignment With the European Association of Urology 2025 Guidelines: Comparative Study.

BACKGROUND: Recent advances in AI, particularly large language models, have generated growing interest in their application to medical education and examination preparation. However, the accuracy, reasoning quality, and adherence to clinical guidelines of these tools in postgraduate urology assessments remain unclear. OBJECTIVE: This study aimed to evaluate the performance of 3 AI tools, ChatGPT (...

Cough Hypersensitivity in Gastroesophageal Reflux-Induced Chronic Cough: Insights from Reflux Monitoring and High-Resolution Manometry.

BACKGROUND: Cough hypersensitivity contributes to the heterogeneity of gastroesophageal reflux-induced chronic cough (GERC), but its associated factors remain unclear. This study aimed to investigate factors associated with cough hypersensitivity and evaluate the relative contributions of reflux characteristics and esophageal motility across reflux phenotypes. METHODS: This retrospective study inc...

Large language models in the vertical integration of spine surgery workflow: a scoping review.

PURPOSE: To evaluate current evidence regarding the clinical reliability and reasoning capabilities of Large Language Models (LLMs) and Multimodal Lar...

Assessing AI literacy and attitudes among medical students: implications for integration into healthcare practice.

PURPOSE: This study aims to assess AI literacy and attitudes among medical students and explore their implications for integrating AI into healthcare ...

Association Between the Dietary Inflammatory Index and Cardiorenal Anemia Syndrome: Evidence From NHANES and Related-Phenotype Exploration in KNHANES.

Cardiorenal anemia syndrome (CRAS) links heart failure, chronic kidney disease, and anemia, but the role of diet-related inflammation remains unclear....

Assessing digital health curriculum needs: a mixed-methods study of student and faculty perspectives in a Singapore medical school.

BACKGROUND: The rapid advancement of digital technologies has transformed healthcare delivery, creating an imperative for medical education to integra...

CAR-T cell therapy in advanced practice nursing management. A Statistical and Large Language Model approach to highlight critical issues.

AimTo gather nurses' perceptions nursing hematologic management on patients undergoing CAR-T cell therapy. A combined approach using statistical analy...

Survey-based research: When AI and Dermatologists disagree, what do patients choose?

INTRODUCTION: Artificial intelligence (AI) shows significant promise in dermatology, particularly in image-based diagnostics. However, patient percept...

Feasibility of a Stool State Check App Using AI During Bowel Preparation Before Colonoscopy: Multicenter Prospective Study (SCAN Study).

BACKGROUND: Optimal bowel preparation (BP) is crucial for a successful colonoscopy. Although multiple factors influence BP quality, including patient ...

AI Tool Use Among Osteopathic Medical Students: Pilot Digital Diary Study.

BACKGROUND: AI is increasingly integrated into medical education, offering new ways for students to acquire knowledge and support clinical reasoning. ...

Assessing the scientific quality of artificial intelligence generated graphical abstracts in respiratory medicine: an expert-based multicentre pilot study.

Graphical abstracts are increasingly used to enhance scientific communication, yet their quality remains variable. Generative artificial intelligence ...

Evaluating the Influence of MCAT Scores on Medical Student Selection and Performance Using a Machine Learning Approach: Retrospective Cohort Study.

BACKGROUND: The Medical College Admission Test (MCAT) has been central to medical school admissions in North America, though its necessity in holistic...

Unsupervised Identification of Population Clusters With Distinct Low Back Pain Profiles.

BACKGROUND CONTEXT: Low back pain (LBP) is a leading cause of disability worldwide, yet population-level stratification of LBP risk remains limited. U...

Smartphone-Based Multimodal Digital Biomarker Integration for Parkinson's Disease Screening and Diagnostic Support.

INTRODUCTION: Timely identification of Parkinson's disease (PD) is often delayed because of clinical heterogeneity and limited awareness of early symp...

Modern generative large language models in epilepsy care: a scoping review of current applications, challenges, and future directions.

Modern generative large language models (LLMs) are increasingly being evaluated in epilepsy-related clinical tasks, but the evidence remains fragmente...

Improving portability of knowledge-based planning using an LLM-driven plan refinement framework in lung radiotherapy.

BACKGROUND: Knowledge-based planning (KBP) has improved the quality and efficiency of radiotherapy treatment planning. However, its broader clinical a...

Current evidence of generative artificial intelligence specifically developed for dental and maxillofacial radiology: a systematic review.

OBJECTIVES: This systematic review aimed to investigate the current development and application landscape of generative artificial intelligence (Gen-A...

An Alternative Approach for Detecting Problematic Alcohol Use: Developing the Student Alcohol Risk Assessment Scale-15 Using AI-Assisted Machine Learning.

BACKGROUND/AIM: Risky alcohol use is common among university students and negatively impacts physical and psychosocial health. Current screening instr...

Validity and Reliability of the Medical Artificial Intelligence Readiness Scale, Korean Version: A Methodological and Cross-Sectional Study.

This study aimed to translate and culturally adapt the Medical Artificial Intelligence Readiness Scale for Medical Students into Korean and to examine...

Machine Learning Models for Predicting Pain, Fatigue, Depression, Anxiety, and Malnutrition in Cancer Patients: A Systematic Review and Meta-Analysis.

INTRODUCTION: Cancer-related symptoms including pain, fatigue, depression, anxiety, and malnutrition drive poor quality of life and adverse clinical o...