Latest AI and machine learning research in medical education for healthcare professionals.
Simulation in healthcare, empowered by big data analytics and artificial intelligence (AI), has the potential to drive transformative innovations towards enhanced interprofessional collaboration (IPC). This convergence of technologies revolutionizes medical education, offering healthcare professionals (HCPs) an immersive, iterative, and dynamic simulation platform for hands-on learning and deliber...
By virtue of the chronic and dangerous nature of cancer, researchers have explored various approaches to managing the abnormal cell growth associated with this disease using novel treatment methods. This study introduces a control system based on normalized advantage function reinforcement learning. It aims to boost the body's immune response against cancer cell proliferation. This control approac...
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...
Medical image segmentation is a vital stage in medical image analysis. Numerous deep-learning methods are booming to improve the performance of 2-D me...
The incorporation of artificial intelligence (AI) into the general surgery residency recruitment process holds great promise for overcoming limitation...
Molecular dynamics simulation is a crucial research domain within the life sciences, focusing on comprehending the mechanisms of biomolecular interact...
The value of human papillomavirus (HPV) testing for cervical cancer screening is well established; however, its use as a primary screening option or a...
AlphaFold2 is an Artificial Intelligence-based program developed to predict the 3D structure of proteins given only their amino acid sequence at atomi...
Cystoid macular edema (CME) is a sight-threatening condition often associated with inflammatory and diabetic diseases. Early detection is crucial to p...