Artificial Intelligence Medical Compendium

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

Showing 281 to 290 of 212,780 articles

PathReportEval: A Systematic Benchmark for Pathology Report Generation

arXiv Jul 20, 2026
Pathology report generation from whole-slide images (WSIs) is a rapidly growing multimodal learning problem, yet progress is difficult to measure because existing studies use heterogeneous datasets, model settings, visual encoders, and evaluation pro... read more 
Computation and Language cs.CV

CANDOR: Chance-Calibrated Discordance in Frozen Foundation Encoders

arXiv Jul 20, 2026
Frozen encoders are chosen by how well a lightweight head reads a finding from their features, not whether the geometry separates it. Nearest-neighbor discordance does, but with unequal banks the opposite-label neighbor wins on density, not geometry,... read more 
Machine Learning cs.AI cs.CL cs.CV

DuSPiT: Dual-Branch Sub-Patch Pixel Diffusion Transformer

arXiv Jul 20, 2026
Diffusion Transformers achieve strong image generation performance, but most operate in compressed latent spaces. Pixel-space diffusion avoids this information loss, yet existing approaches map each raw image patch to a single token, forcing one repr... read more 
Computer Vision and Pattern Recognition

Attention Without Grounding: Causal Evaluation of Visual Explanations in Medical VLMs

arXiv Jul 20, 2026
Attention and saliency heatmaps are widely used to explain medical Vision-Language Model (VLM) outputs on chest X-rays, yet whether they truly highlight the image evidence driving predictions has not been causally tested. We audit faithfulness via ov... read more 
Computer Vision and Pattern Recognition

GQD-AdsNet: Graph Neural Networks Unlock Rapid Exploration of Transition Metal Adsorption on Graphene Quantum Dots

arXiv Jul 20, 2026
In recent years, interest in single-atom catalysts supported on carbon-based structures has grown considerably due to their high catalytic activity and efficient uses of metal atoms. However, the design and characterization of these materials through... read more 
Materials Science cs.LG

Identification and analysis of EphrinB2/EphB4 signaling pathway and angiogenesis related biomarkers in coronary artery disease based on bioinformatics.

Journal of cardiothoracic surgery Jul 20, 2026
BACKGROUND: EphrinB2 and its receptor EphB4 have been reported to play a crucial role in the development of the cardiovascular system, and the process of coronary artery disease (CAD) is closely related to angiogenesis. The aim of this study is to id... read more 

Interpretable machine learning for cardiovascular disease risk prediction in cancer survivors: development and internal validation.

Cardio-oncology (London, England) Jul 20, 2026
BACKGROUND: Cardiovascular disease (CVD) is a major concern among cancer survivors. However, the intersection of cancer and CVD has only recently gained broader attention, and substantial evidence gaps remain. This study aimed to identify risk factor... read more 

FOXC1: A Key Transcription Factor of VSMC-Derived Foam Cell Formation in Atherosclerotic Plaque Instability.

The Kaohsiung journal of medical sciences Jul 20, 2026
The instability of atherosclerotic plaques, particularly intraplaque hemorrhage (IPH), drives life-threatening cardiovascular events, a process in which vascular smooth muscle cell (VSMC)-derived foam cells play a significant role. We aim to identify... read more 

Regarding "Harnessing Machine Learning for Agnostic Biodetection".

Health security Jul 20, 2026
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EXPRESS: A rapid and nondestructive approach for identification of foodborne bacteria using hyperspectral imaging and multimodal technology.

Applied spectroscopy Jul 20, 2026
Foodborne illnesses pose a serious threat to food safety and cause substantial economic losses. Hyperspectral imaging (HSI) has emerged as a powerful tool for rapid and non-destructive identification of foodborne pathogens. However, the high chemical... read more 
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