Latest AI and machine learning research in medical education for healthcare professionals.
Characterizing the conformational ensemble of biomolecular systems is key to understand their functions. Cryoelectron microscopy (cryo-EM) captures two-dimensional snapshots of biomolecular ensembles, giving in principle access to thermodynamics. However, these images are very noisy and show projections of the molecule in unknown orientations, making it very difficult to identify the biomolecule's...
The concept of innovation in dental education often invites scepticism-is it merely a buzzword, or a true driver of progress? In Endodontics, the answer is clear: innovation is essential. As the field grapples with persistent challenges-including difficulty in recruiting and retaining qualified educators, rising student demand, and the lack of standardized global training-traditional pedagogical m...
Elucidating the anti-tumor role of tumor-draining lymph nodes (tdLNs) in patients could offer critical mechanistic insight and shift therapeutic strat...
Artificial intelligence (AI) is rapidly evolving and increasingly being integrated into health care. Medical students and residents must develop a fou...
The rapid advancements of artificial intelligence (AI) in healthcare have triggered a significant literacy gap among nursing professionals, raising co...
The next generation of force fields for molecular dynamics will be developed using a wealth of data. Training systematically with experimental data re...
The professional development curriculum is a vital component in physician training and is important for helping trainees develop as competent and refl...
Animals can solve new, complex tasks by reusing and adapting what they've learned before. This kind of flexibility depends not just on having prior ex...
Due to the association with higher incidence of left ventricular dysfunction and complications, segmentation of left ventricle and related pathologica...
To address the challenges of sample utilization efficiency and managing temporal dependencies, this paper proposes an efficient path planning method f...
This special article is the fourth in an annual series for the Journal of Cardiothoracic and Vascular Anesthesia that highlights significant literatur...
INTRODUCTION: A growing area is the use of ChatGPT in simulation-based learning, a widely recognized methodology in medical education. This study aime...
As Otago Medical School marks its 150th anniversary, this paper reflects on what it means to train doctors for both today and the decades ahead. It tr...
The rising cancer incidence has increased demand for radiation oncologists, surpassing current staffing expansion estimates. Enhancing radiation oncol...
: Hospital readmissions are a key quality metric impacting both patient outcomes and healthcare costs. Traditional logistic regression models, includi...
Due to their excellent specific strength and lightweight characteristics, Al-Cu-Li alloys are widely used in aerospace applications. The newly develop...
Faculty in dental and health professions education face growing workloads, leading to stress, burnout, and attrition. To address these challenges, Lar...
Study DesignA comparative analysis of AI-generated vs human-authored personal statements for spine surgery fellowship applications.ObjectiveTo assess ...
PROBLEM: Despite the rapidly expanding role of artificial intelligence (AI) and machine learning (ML) in health care, a significant knowledge gap rema...