Artificial Intelligence Medical Compendium

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

Showing 19,441 to 19,450 of 214,800 articles

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces

arXiv May 12, 2026
A critical step for reliable large language models (LLMs) use in healthcare is to attribute predictions to their training data, akin to a medical case study. This requires token-level precision: pinpointing not just which training examples influence ... read more 
Machine Learning cs.AI

AGOP as Explanation: From Feature Learning to Per-Sample Attribution in Image Classifiers

arXiv May 12, 2026
The Average Gradient Outer Product (AGOP) governs feature learning in neural networks: the Neural Feature Ansatz states that weight Gram matrices at each layer align with the corresponding AGOP matrices computed over the training distribution. We ask... read more 
Machine Learning

Training Large Language Models to Predict Clinical Events

arXiv May 12, 2026
Longitudinal clinical notes contain rich evidence of how patients evolve over time, but converting this signal into training supervision for clinical prediction remains challenging. We extend Foresight Learning to clinical prediction by converting ti... read more 
Machine Learning cs.AI cs.CL

FRAME: Forensic Routing and Adaptive Multi-path Evidence Fusion for Image Manipulation Detection

arXiv May 12, 2026
The proliferation of sophisticated image editing tools and generative artificial intelligence models has made verifying the authenticity of digital images increasingly challenging, with important implications for journalism, forensic analysis, and pu... read more 
Computer Vision and Pattern Recognition cs.AI

Quantifying Potential Observation Missingness in Inverse Reinforcement Learning

arXiv May 12, 2026
Inverse reinforcement learning (IRL), which infers reward functions from demonstrations, is a valuable tool for modeling and understanding decision-making behavior. Many variants of IRL have been developed to capture complexities of human decision-ma... read more 
Machine Learning

Digital Twins as Synthetic Controls in Single-Arm Trials

arXiv May 12, 2026
Single-arm trials are an important study design for evaluating drug efficacy and safety without enrolling patients into a control arm. Although they do not provide the gold-standard evidence of randomized controlled trials, they are increasingly used... read more 
Applications cs.LG stat.ML

Shaping the future of postoperative recurrence in Crohn's disease: personalised approaches with AI-enabled imaging and multi-omics.

Gut May 12, 2026
Postoperative recurrence (POR) is a major challenge in the long-term management of Crohn's disease (CD), affecting up to 70% of patients within the first year after surgical resection. The multifactorial pathogenesis of POR complicates prevention, wh... read more 

[Initial investigation on the discipline system for reviewology: medicine as an example].

Zhonghua yi xue za zhi May 12, 2026
Academic journal peer review lacks disciplinary support due to uneven quality of peer review and inconsistent comments. Based on long-term experience in peer review and professional journal publishing, the authors put forward some suggestions on esta... read more 

Glycolytic reprogramming in host response to Borrelia burgdorferi: A gene signature revealed by integrative bioinformatics analysis and machine learning.

Experimental and therapeutic medicine May 12, 2026
Lyme disease (LD), a multifaceted condition caused by Borrelia burgdorferi (Bb), remains poorly understood, particularly regarding metabolic pathways. This study aimed to evaluate the role of glycolysis-related genes (GRGs) in LD pathogenesis and ide... read more 

Exploring human GABA transporter 3 binders for epilepsy through quantum reactivity analysis, molecular dynamics, machine learning prediction, and network pharmacology.

Journal of molecular modeling May 12, 2026
CONTEXT: Drug-resistant epilepsy (DRE) remains a major therapeutic challenge, affecting millions of patients globally who do not respond to conventional antiepileptic medications. Recent evidence highlights GABA transporter 3 (GAT3), a glial subtype ... read more 
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