Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: Health professions education faces increasing challenges from rising health care complexity, pedagogical shifts, and constrained curricular space, and rapidly expanding knowledge and technological advances. While artificial intelligence (AI) shows promise for transforming health professions education, evidence of its effectiveness remains unclear. OBJECTIVE: This study synthesized evid...
Hydrogen vehicles are facing significant challenges, including safety risks in the event of leakage, high costs associated with physical testing, and fuel cell inefficiency under dynamic conditions; to address these concerns, we propose VR-H2Safe, a cyber-physical platform that combines high-fidelity simulation, physics-informed reinforcement learning (RL), and secure vehicle-to-everything (V2X) c...
BACKGROUND: As patients increasingly consult large language models (LLMs) for health-related information, evaluating the clinical safety of AI-generat...
INTRODUCTION: This study aimed to evaluate the effectiveness of a generative artificial intelligence based simulated patient model in improving gyneco...
BACKGROUND: Research on artificial intelligence (AI) and mental health has focused largely on harms at deployment, including chatbot safety, sycophanc...
BACKGROUND AND PURPOSE: Augmented reality (AR) and artificial intelligence (AI) have been applied to the assessment and rehabilitation of post-stroke ...
BACKGROUND: Large language models (LLMs) are increasingly used to generate patient-oriented medical information. In geriatrics, such information must ...
BACKGROUND: Opioid overdose remains a leading cause of preventable death in the United States. Existing approaches to identify individuals at elevated...
BACKGROUND: Artificial intelligence (AI) models are being increasingly integrated into clinical care. Moreover, the availability of publicly accessibl...
The translation of big data analytics and artificial intelligence (AI) into clinical decision support systems (CDSSs) has advanced from proof of conce...
BACKGROUND: Communication in a family's primary language can support safe care. Vital steps within the care delivery process are contingent on success...
BACKGROUND: Advances in digital orthodontics and artificial intelligence (AI) planning have the potential to enhance treatment precision, but randomiz...
PURPOSE: To assess the performance of GPT-5 in refractive surgery planning by comparing its recommendations with expert surgeons and reporting visual ...
BACKGROUND: Quality control can reduce variations in operators' performance conducting magnetically controlled capsule gastroscopy (MCCG). However, an...
Blood pressure (BP) management following successful reperfusion after endovascular thrombectomy (EVT) is critical in achieving favorable clinical outc...
BACKGROUND: Percutaneous closure of patent foramen ovale (PFO) reduces the risk of recurrent stroke in selected patients with cryptogenic stroke. Howe...
A generalization of the classical concordance correlation coefficient (CCC) is considered under a three-level design where multiple raters rate every ...
This paper considers the problem of causal mediation analysis (CMA) when the outcome, mediator, or both are modeled as latent variables that are measu...
BACKGROUND: Conversational agents (artificial intelligence [AI]-based chatbots) offer a novel approach to health interventions by providing personaliz...
OBJECTIVE: To address the limitations of traditional CT-guided pulmonary nodule interventions, such as excessive radiation exposure, prolonged procedu...