Latest AI and machine learning research in medical education for healthcare professionals.
BACKGROUND: Use of artificial intelligence to generate personal statements for residency is currently not permitted but is difficult to monitor. This study sought to evaluate the ability of surgical residency application reviewers to identify artificial intelligence-generated personal statements and to understand perceptions of this practice.
OBJECTIVE: This study explores radiology program directors' perspectives on the impact of large language model (LLM) use among residency applicants to craft personal statements.
This study investigates the role of green technology implementation (GTI) based on artificial intelligence (AI) at the household level to achieve carb...
PURPOSE: Metabolic bariatric surgery (MBS) became integral to managing severe obesity. Understanding surgical risks associated with MBS is crucial. Di...
BACKGROUND: Cardiovascular diseases present a significant challenge in clinical practice due to their sudden onset and rapid progression. The manageme...
The aim of the present study was to compare the effectiveness of AI-assisted training and conventional human training in clinical practice. This was a...
Simulation in healthcare, empowered by big data analytics and artificial intelligence (AI), has the potential to drive transformative innovations towa...
Smile aesthetics is an important factor to consider during orthodontic treatment planning. The aim of the present study is to assess the predictabilit...
MOTIVATION: Medical curricula improvement is an ongoing process to keep material relevant and improve the student's learning experience to better prep...
China's secondary vocational medical education is essential for training primary health care personnel and enhancing public health responses. This edu...
OBJECTIVES: The interpretation of mammograms requires many years of training and experience. Currently, training in mammography, like the rest of diag...
Generative artificial intelligence and large language models are the continuation of a technological revolution in information processing that began w...
Lossy image coding techniques usually result in various undesirable compression artifacts. Recently, deep convolutional neural networks have seen enco...
INTRODUCTION: Large language models like Chat Generative Pre-Trained Transformer (ChatGPT) are increasingly used in academic writing. Faculty may cons...
It has been proposed that, when processing a stream of events, humans divide their experiences in terms of inferred latent causes (LCs) to support con...
In this work, a quantitative structure-antioxidant activity relationship of flavonoids was performed using a machine learning (ML) method. To achieve ...
BACKGROUND: The successful integration of artificial intelligence (AI) into clinical practice is contingent upon physicians' comprehension of AI princ...
The United States Environmental Protection Agency (USEPA) Four-step-Method (FSM) is a straightforward and extensively utilized tool for evaluating reg...
Molecular dynamics (MD) simulation is a powerful tool for characterizing ligand-protein conformational dynamics and offers significant advantages over...