Artificial Intelligence Medical Compendium

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

Showing 57,811 to 57,820 of 227,388 articles

Cortex-Grounded Diffusion Models for Brain Image Generation

arXiv Jan 27, 2026
Synthetic neuroimaging data can mitigate critical limitations of real-world datasets, including the scarcity of rare phenotypes, domain shifts across scanners, and insufficient longitudinal coverage. However, existing generative models largely rely o... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

A Non-Invasive 3D Gait Analysis Framework for Quantifying Psychomotor Retardation in Major Depressive Disorder

arXiv Jan 27, 2026
Predicting the status of Major Depressive Disorder (MDD) from objective, non-invasive methods is an active research field. Yet, extracting automatically objective, interpretable features for a detailed analysis of the patient state remains largely un... read more 
Computer Vision and Pattern Recognition

Benchmarks Saturate When The Model Gets Smarter Than The Judge

arXiv Jan 27, 2026
Benchmarks are important tools to track progress in the development of Large Language Models (LLMs), yet inaccuracies in datasets and evaluation methods consistently undermine their effectiveness. Here, we present Omni-MATH-2, a manually revised vers... read more 
Artificial Intelligence cs.CL cs.LG

From Atoms to Chains: Divergence-Guided Reasoning Curriculum for Unlabeled LLM Domain Adaptation

arXiv Jan 27, 2026
Adapting Large Language Models (LLMs) to specialized domains without human-annotated data is a crucial yet formidable challenge. Widely adopted knowledge distillation methods often devolve into coarse-grained mimicry, where the student model ineffici... read more 
Machine Learning cs.AI

Localized Latent Editing for Dose-Response Modeling in Botulinum Toxin Injection Planning

arXiv Jan 27, 2026
Botulinum toxin (Botox) injections are the gold standard for managing facial asymmetry and aesthetic rejuvenation, yet determining the optimal dosage remains largely intuitive, often leading to suboptimal outcomes. We propose a localized latent editi... read more 
Computer Vision and Pattern Recognition

Intersectional Fairness via Mixed-Integer Optimization

arXiv Jan 27, 2026
The deployment of Artificial Intelligence in high-risk domains, such as finance and healthcare, necessitates models that are both fair and transparent. While regulatory frameworks, including the EU's AI Act, mandate bias mitigation, they are delibera... read more 
Machine Learning cs.AI math.OC stat.ML

The role of self-supervised pretraining in differentially private medical image analysis

arXiv Jan 27, 2026
Differential privacy (DP) provides formal protection for sensitive data but typically incurs substantial losses in diagnostic performance. Model initialization has emerged as a critical factor in mitigating this degradation, yet the role of modern se... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linking

arXiv Jan 27, 2026
We present SynCABEL (Synthetic Contextualized Augmentation for Biomedical Entity Linking), a framework that addresses a central bottleneck in supervised biomedical entity linking (BEL): the scarcity of expert-annotated training data. SynCABEL leverag... read more 
Computation and Language cs.AI cs.IR cs.LG

ProToken: Token-Level Attribution for Federated Large Language Models

arXiv Jan 27, 2026
Federated Learning (FL) enables collaborative training of Large Language Models (LLMs) across distributed data sources while preserving privacy. However, when federated LLMs are deployed in critical applications, it remains unclear which client(s) co... read more 
Machine Learning cs.AI cs.SE

A new Image Similarity Metric for a Perceptual and Transparent Geometric and Chromatic Assessment

arXiv Jan 27, 2026
In the literature, several studies have shown that state-of-the-art image similarity metrics are not perceptual metrics; moreover, they have difficulty evaluating images, especially when texture distortion is also present. In this work, we propose a ... read more 
Computer Vision and Pattern Recognition
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