Neural networks : the official journal of the International Neural Network Society
Mar 9, 2026
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
American heart journal plus : cardiology research and practice
Mar 9, 2026
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
Clinical and translational radiation oncology
Mar 9, 2026
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
Chronic diseases and translational medicine
Mar 9, 2026
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
Journal of occupational and environmental medicine
Mar 9, 2026
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
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
The American journal of gastroenterology
Mar 9, 2026
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
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
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
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
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