Artificial Intelligence Medical Compendium

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

Showing 43,691 to 43,700 of 224,055 articles

LoongTrack: Exploring long-sequence modeling for visual tracking.

Neural networks : the official journal of the International Neural Network Society
Visual object tracking constitutes a complex online association problem, characterized by its intricate interplay of temporal and spatial dimensions. In the current mainstream pipeline, images are typically encoded into a sequence, which is subsequen... read more 

From innovation to implementation: Addressing the AI adoption gap in cardiac surgery.

American heart journal plus : cardiology research and practice
BACKGROUND: While artificial intelligence (AI) is advancing rapidly across cardiovascular medicine, its translation into cardiac surgery remains limited. Algorithms show promise in diagnostics, perioperative risk prediction, and workflow optimization... read more 

Inter-observer variability in radiotherapy contouring with the use of autocontouring software: A systematic review.

Clinical and translational radiation oncology
Inter-observer variability (IOV) in radiotherapy contouring remains a significant source of uncertainty, especially for complex anatomical regions. Autocontouring software, including both atlas-based and deep-learning-based models, aims to improve co... read more 

A Research Classification for Long COVID: Symptom Frequency and Severity Improve Accuracy of Machine Learning Models.

Chronic diseases and translational medicine
Long COVID definitions based solely on symptom occurrence may reduce diagnostic specificity.Machine-learning models incorporating symptom frequency and severity outperformed occurrence-only models.Composite scoring achieved 90.12% accuracy compared w... read more 

Occupational Heat Stress in Industrial Workers: Modifiable Predictors and Machine Learning Risk Classification in Northeast India.

Journal of occupational and environmental medicine
BACKGROUND: Occupational heat stress poses a growing threat to worker health and productivity in low- and middle-income countries. This study investigated modifiable predictors of heat stress among industrial workers and evaluated machine-learning mo... read more 

Performance of 5 AI Models on United States Medical Licensing Examination Step 1 Questions: Comparative Observational Study.

JMIR AI
BACKGROUND: Artificial intelligence (AI) models are increasingly being used in medical education. Although models like ChatGPT have previously demonstrated strong performance on United States Medical Licensing Examination (USMLE)-style questions, new... read more 

Optimal Single or Combined Parameters for Dyssynergic Defecation on Anorectal Manometry: A Proof-of-Concept Machine Learning Study.

The American journal of gastroenterology
INTRODUCTION: To perform a proof-of-concept study to evaluate the performance of individual and combined anorectal manometry and balloon expulsion testing (BET) parameters for diagnosing dyssynergic defecation (DD) using machine learning (ML). METHOD... read more 

Hospitality-VQA: Decision-Oriented Informativeness Evaluation for Vision-Language Models

arXiv
Recent advances in Vision-Language Models (VLMs) have demonstrated impressive multimodal understanding in general domains. However, their applicability to decision-oriented domains such as hospitality remains largely unexplored. In this work, we inve... read more 

Toward Unified Multimodal Representation Learning for Autonomous Driving

arXiv
Contrastive Language-Image Pre-training (CLIP) has shown impressive performance in aligning visual and textual representations. Recent studies have extended this paradigm to 3D vision to improve scene understanding for autonomous driving. A common st... read more 

VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?

arXiv
The ability to distinguish subtle differences between visually similar images is essential for diverse domains such as industrial anomaly detection, medical imaging, and aerial surveillance. While comparative reasoning benchmarks for vision-language ... read more