Artificial Intelligence Medical Compendium

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

Showing 50,271 to 50,280 of 224,814 articles

Freq-DP Net: A Dual-Branch Network for Fence Removal using Dual-Pixel and Fourier Priors

arXiv Feb 15, 2026
Removing fence occlusions from single images is a challenging task that degrades visual quality and limits downstream computer vision applications. Existing methods often fail on static scenes or require motion cues from multiple frames. To overcome ... read more 
Computer Vision and Pattern Recognition

Evaluating LLMs in Finance Requires Explicit Bias Consideration

arXiv Feb 15, 2026
Large Language Models (LLMs) are increasingly integrated into financial workflows, but evaluation practice has not kept up. Finance-specific biases can inflate performance, contaminate backtests, and make reported results useless for any deployment c... read more 
Machine Learning cs.AI q-fin.CP

Moving Beyond Sparse Grounding with Complete Screen Parsing Supervision

arXiv Feb 15, 2026
Modern computer-use agents (CUA) must perceive a screen as a structured state, what elements are visible, where they are, and what text they contain, before they can reliably ground instructions and act. Yet, most available grounding datasets provide... read more 
Computer Vision and Pattern Recognition

MILD: Multi-Intent Learning and Disambiguation for Proactive Failure Prediction in Intent-based Networking

arXiv Feb 15, 2026
In multi-intent intent-based networks, a single fault can trigger co-drift where multiple intents exhibit symptomatic KPI degradation, creating ambiguity about the true root-cause intent. We present MILD, a proactive framework that reformulates inten... read more 
Networking and Internet Architecture cs.LG

DeepFusion: Accelerating MoE Training via Federated Knowledge Distillation from Heterogeneous Edge Devices

arXiv Feb 15, 2026
Recent Mixture-of-Experts (MoE)-based large language models (LLMs) such as Qwen-MoE and DeepSeek-MoE are transforming generative AI in natural language processing. However, these models require vast and diverse training data. Federated learning (FL) ... read more 
Machine Learning cs.AI cs.MA

In Transformer We Trust? A Perspective on Transformer Architecture Failure Modes

arXiv Feb 15, 2026
Transformer architectures have revolutionized machine learning across a wide range of domains, from natural language processing to scientific computing. However, their growing deployment in high-stakes applications, such as computer vision, natural l... read more 
Machine Learning

Essential Updates 2024-2025: Surgical Strategy for Esophageal Cancer Toward a New Paradigm in the Era of Immunotherapy and Personalization.

Annals of gastroenterological surgery Feb 15, 2026
Esophageal cancer surgery is evolving from technical standardization to a paradigm of personalized, strategy-oriented care. Robotic-assisted techniques and enhanced perioperative protocols have improved safety, but the field is increasingly shaped by... read more 

Metagenomics AI powered prediction of Inflammatory Bowel Disease and Probiotic Recommendation

medRxiv Feb 15, 2026
Background and Objective The dysbiosis of human gut microbiome has been increasingly seen to have a relation in the development of autoimmune diseases, with specific microbial signatures having causative association with specific conditions. Inflamma... read more 
gastroenterology

Decoding the metabolic blockade effect: PFAS inhibition of organic anion transporters impairs VOC clearance and amplifies neurocognitive decline

medRxiv Feb 15, 2026
The co-occurrence of per- and polyfluoroalkyl substances (PFAS) and volatile organic compounds (VOCs) in industrial environments poses complex toxicological risks that standard additive models fail to capture. This study elucidates a novel "metabolic... read more 
occupational and environmental health

Facial photographs reveal mortality risk beyond triage

medRxiv Feb 15, 2026
Rapid risk stratification is essential in the clinic, yet vital signs, laboratory tests, and triage scores may not fully capture risk at presentation. We investigated whether facial photographs taken after emergency admission provide an additional mo... read more 
emergency medicine
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