Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 2,461 to 2,470 of 167,235 articles

The future of anesthesia education: incorporating technology for safer practices.

Current opinion in anaesthesiology
PURPOSE OF REVIEW: Although effective patient safety education is critical to reducing medical errors, little guidance exists on best practices for patient safety curricula. This review explores the current state of patient safety education in anesth... read more 

AgentSME for Simulating Diverse Communication Modes in Smart Education

arXiv
Generative agent models specifically tailored for smart education are critical, yet remain relatively underdeveloped. A key challenge stems from the inherent complexity of educational contexts: learners are human beings with various cognitive behav... read more 

Machine Learning-Enhanced Calculation of Quantum-Classical Binding Free Energies.

Journal of chemical theory and computation
Binding free energies are key elements in understanding and predicting the strength of protein-drug interactions. While classical free energy simulations yield good results for many purely organic ligands, drugs, including transition metal atoms, oft... read more 

Analysis of risk factors for DUI and DWI crashes considering the built environment.

International journal of injury control and safety promotion
The risk level of alcohol-involved traffic crashes is closely related to alcohol consumption. However, research on different influencing factors for DUI (Driving Under Influence) and DWI (Driving While Intoxicated) remains limited. This study analyze... read more 

Bioinformatics analysis of Rho-signal transduction genes in postmenopausal osteoporosis and periodontitis.

Scientific reports
Postmenopausal osteoporosis (PMOP) increases the risk of periodontitis (PD), yet the shared mechanisms remain unclear. Rho-signal transduction genes may play a role due to their involvement in bone remodeling. This study aimed to explore Rho-related ... read more 

AVPDN: Learning Motion-Robust and Scale-Adaptive Representations for Video-Based Polyp Detection

arXiv
Accurate detection of polyps is of critical importance for the early and intermediate stages of colorectal cancer diagnosis. Compared to static images, dynamic colonoscopy videos provide more comprehensive visual information, which can facilitate t... read more 

Efficient Multi-Slide Visual-Language Feature Fusion for Placental Disease Classification

arXiv
Accurate prediction of placental diseases via whole slide images (WSIs) is critical for preventing severe maternal and fetal complications. However, WSI analysis presents significant computational challenges due to the massive data volume. Existing... read more 

Quality Versus Sparsity in Image Recovery by Dictionary Learning Using Iterative Shrinkage

arXiv
Sparse dictionary learning (SDL) is a fundamental technique that is useful for many image processing tasks. As an example we consider here image recovery, where SDL can be cast as a nonsmooth optimization problem. For this kind of problems, iterati... read more 

Evaluating the Predictive Value of Preoperative MRI for Erectile Dysfunction Following Radical Prostatectomy

arXiv
Accurate preoperative prediction of erectile dysfunction (ED) is important for counseling patients undergoing radical prostatectomy. While clinical features are established predictors, the added value of preoperative MRI remains underexplored. We i... read more 

CoEmoGen: Towards Semantically-Coherent and Scalable Emotional Image Content Generation

arXiv
Emotional Image Content Generation (EICG) aims to generate semantically clear and emotionally faithful images based on given emotion categories, with broad application prospects. While recent text-to-image diffusion models excel at generating concr... read more