Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: Colorectal cancer (CRC) screening relies on structured risk assessment and guideline-concordant communication, which remain challenging to implement consistently in real-world practice. Digital tools based on large language models (LLMs) may support such workflows, but their feasibility and safety in structured screening contexts have not been well evaluated. OBJECTIVE: This study aime...
OBJECTIVE: To evaluate the diagnostic accuracy and clinical reasoning of three frontier large language models (LLMs) across standardized pediatric gastroenterology, hepatology, and nutrition (PGHN) clinical vignettes. METHODS: In this cross-sectional study, 25 fictional PGHN vignettes were developed by one board-certified pediatric gastroenterologist and evaluated using three LLMs: Gemini 3.1 Pro,...
BACKGROUND: Pharmacovigilance aims to protect patient safety by identifying and managing adverse events associated with pharmaceuticals. Determining t...
BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adenoma detection in average-risk colorectal cancer scr...
U.S. colleges and schools of pharmacy face mounting challenges in sustaining robust research programs, supporting early-stage investigators, modernizi...
The current trend of deploying machine learning models as remote services obscures which specific models users are interacting with, exacerbating an a...
We consider the reality of deploying artificial intelligence (AI) in safety-critical systems, such as autonomous vehicles, medical diagnoses and weath...
In this opinion piece, we present the view that the safety and security of end users should be placed at the heart of the design and development of an...
Burnout remains one of the defining occupational hazards of healthcare in the United States, and it spares no one on the care team: physicians, nurses...
Early ambulation following cardiovascular and thoracic surgery (CVTS) is associated with improved postoperative outcomes. However, barriers such as pa...
BACKGROUND: Large language models (LLMs) are increasingly embedded in conversational agents for cardiometabolic care. These systems could support self...
Smartphone applications for dermatology are widely available across Europe, yet evidence on their characteristics, validation, and regulatory complian...
INTRODUCTION: Psoriatic arthritis is a chronic inflammatory disease that can affect the axial skeleton as well as the joints and enthesis. Following t...
BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represent precancerous or early-stage lung adenocarcinoma...
BACKGROUND: Chatbots have recently emerged as an alternative approach for delivering cancer risk assessment and genetic counseling. Understanding the ...
BACKGROUND: Hypertension is a major global health challenge, and effective health education is crucial for improving patients' self-management. Tradit...
BACKGROUND: The evaluation and improvement of medical large language models (LLMs) are critical for their real-world deployment, particularly in ensur...
Gastric cancer (GC) shows strong biological heterogeneity and frequent disruption of inflammatory and metabolic programs, which affect tumor progressi...