Latest AI and machine learning research in medical education for healthcare professionals.
Computer-aided surgical simulation is a critical component of orthognathic surgical planning, where accurately simulating face-bone shape transformations is significant. The traditional biomechanical simulation methods are limited by their computational time consumption levels, labor-intensive data processing strategies and low accuracy. Recently, deep learning-based simulation methods have been p...
Several residency programs have begun investigating artificial intelligence (AI) methods to facilitate application screening processes. However, no unifying guidelines for these methods exist. We sought to perform a scoping review of AI model development and use in residency/fellowship application review, including if bias was explored. A scoping review was performed according to PRISMA-ScR (Pr...
Multiple choice questions (MCQs) are frequently used in medical education for assessment. Automated generation of MCQs in board-exam format could pote...
The notion of medical digital twins is gaining popularity both within the scientific community and among the general public; however, much of the rece...
Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and laborintensive to obtain for medical image segmentati...
There is a need to help advance research on using machine learning and data mining techniques in physics education research (PER), which might still b...
BACKGROUND: Postoperative complications in colorectal surgery can significantly impact patient outcomes and healthcare costs. Accurate prediction of t...
Among the broad area of artificial intelligence (AI), generative AI algorithms have emerged as a revolutionary technology able to produce highly reali...
BACKGROUND: Pharmaceutical calculations are required elements of the Doctor of Pharmacy curriculum in the United States. With the growth of artificial...
The ever-increasing availability of high-throughput DNA sequences and the development of numerous computational methods have led to considerable advan...
Characterizing the conformational ensemble of biomolecular systems is key to understand their functions. Cryoelectron microscopy (cryo-EM) captures tw...
The concept of innovation in dental education often invites scepticism-is it merely a buzzword, or a true driver of progress? In Endodontics, the answ...
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...