Latest AI and machine learning research in medical education for healthcare professionals.
In the quest to enhance medical consultation, our study introduces AI4Doctor, a sophisticated large-language model (LLM) tailored for the clinical domain. At the heart of AI4Doctor is an innovative integration strategy that synergizes distilled data extracted from electronic medical records (EMR) with empirical insights gathered from practicing physicians during the supervised fine-tuning. Althoug...
PURPOSE: High-quality 4D dynamic PET imaging is often compromised by noise, especially in low-count frames, which limits clinical utility and quantitative accuracy. This study proposes a novel spatiotemporal denoising method (SPRINTER) that integrates anatomical priors, self-supervised adaptive principal component analysis (aPCA), and deep learning to enhance image quality and preserve time activi...
BACKGROUND: This study aimed to adapt and psychometrically evaluate the Artificial Intelligence Learning Intention Scale (AILIS) among Iranian medical...
Three-dimensional (3D) rendering of urologic pathology plays an important role in simulation-based education, surgical training, and computer vision r...
Controlling and remediating heavy metal(loid) contamination in groundwater at complex industrial sites remains challenging due to mixed pollution sour...
BACKGROUND: Although artificial intelligence (AI) is increasingly transforming healthcare systems, its systematic integration into undergraduate medic...
The increasing complexity of cardiovascular procedures, regulatory constraints, and heightened patient safety requirements have necessitated a fundame...
BACKGROUND: Feedback is essential for medical students' learning during clinical clerkships; yet, supervising physicians often struggle to provide mea...
PURPOSE OF REVIEW: Nontechnical skills (NTS), such as communication, leadership, and situational awareness, are essential for ensuring surgical safety...
As Academic Medicine celebrates a century of contributions to medical education, it is worth examining the questions that drove the inaugural issues o...
Continuous renal replacement therapy (CRRT) is a technically complex, high-risk ICU therapy in which preventable interruptions, alarm-related downtime...
BACKGROUND: The integration of large language models (LLMs) into medicine has reshaped health care delivery, education, and research. Although proprie...
OBJECTIVE: The rapid advancement of Large Language Models (LLMs) has generated interest in their application to medical education, particularly for hi...
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into public health and dentistry, with a range of applications. While these develo...
BACKGROUND: Computational prediction of drug-target interaction (DTI) is critical for drug discovery and precision medicine. Herein, we constructed a ...
Large language models (LLMs) can achieve passing scores in specialist-level examinations, yet their capacity to author high-stakes examination content...
BACKGROUND AND INTRODUCTION: Society 5.0 envisions a future where technology and humanity integrate to address societal concerns. In an era marked by ...
Artificial intelligence (AI) is increasingly transforming health care through improvements in diagnosis, predictive analytics, and workflow optimizati...
Vegetation restoration is widely regarded as a key measure for mitigating soil erosion in the middle reaches of the Yellow River. However, the regulat...