Artificial Intelligence Medical Compendium

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

Showing 46,501 to 46,510 of 224,055 articles

SGDC: Structurally-Guided Dynamic Convolution for Medical Image Segmentation

arXiv Feb 26, 2026
Spatially variant dynamic convolution provides a principled approach of integrating spatial adaptivity into deep neural networks. However, mainstream designs in medical segmentation commonly generate dynamic kernels through average pooling, which imp... read more 
Image and Video Processing cs.CV

Global Interpretability via Automated Preprocessing: A Framework Inspired by Psychiatric Questionnaires

arXiv Feb 26, 2026
Psychiatric questionnaires are highly context sensitive and often only weakly predict subsequent symptom severity, which makes the prognostic relationship difficult to learn. Although flexible nonlinear models can improve predictive accuracy, their l... read more 
Machine Learning q-bio.QM stat.ML

DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout Generation

arXiv Feb 26, 2026
Graphic layouts serve as an important and engaging medium for visual communication across different channels. While recent layout generation models have demonstrated impressive capabilities, they frequently fail to align with nuanced human aesthetic ... read more 
Computer Vision and Pattern Recognition cs.AI

Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG

arXiv Feb 26, 2026
Brain foundation models have achieved remarkable advances across a wide range of neuroscience tasks. However, most existing models are limited to a single functional modality, restricting their ability to exploit complementary spatiotemporal dynamics... read more 
Machine Learning cs.AI eess.SP q-bio.NC

WARM-CAT: Warm-Started Test-Time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning

arXiv Feb 26, 2026
Compositional Zero-Shot Learning (CZSL) aims to recognize novel attribute-object compositions based on the knowledge learned from seen ones. Existing methods suffer from performance degradation caused by the distribution shift of label space at test ... read more 
Computer Vision and Pattern Recognition

GFRRN: Explore the Gaps in Single Image Reflection Removal

arXiv Feb 26, 2026
Prior dual-stream methods with the feature interaction mechanism have achieved remarkable performance in single image reflection removal (SIRR). However, they often struggle with (1) semantic understanding gap between the features of pre-trained mode... read more 
Computer Vision and Pattern Recognition

Evaluation of artificial intelligence-based electrocardiogram analysis tools in patients with hypertrophic cardiomyopathy.

European heart journal. Digital health Feb 26, 2026
AIMS: Artificial intelligence (AI)-based electrocardiogram (ECG) analysis tools have shown promise in detecting various cardiac conditions. However, their performance in specific patient populations, such as those with hypertrophic cardiomyopathy (HC... read more 

Computer-Aided Detection-Assisted Colonoscopy Teaches Gaze to Improve Adenoma Detection in First-Year Gastroenterology Fellows.

JGH open : an open access journal of gastroenterology and hepatology Feb 26, 2026
BACKGROUND AND AIMS: The impact of computer-aided detection (CADe)-assisted colonoscopy on gastroenterology fellow trainees remains incompletely defined. In this study, adenoma detection rates (ADR) with and without CADe were assessed among gastroent... read more 

Identifying Subgroups of People Living With HIV in British Columbia, Canada Based on Sexually Transmitted and Blood-Borne Infection Testing and Diagnostic Laboratory Data: A Retrospective Cohort Study.

Health science reports Feb 26, 2026
BACKGROUND AND AIMS: Although combination antiretroviral therapy has decreased morbidity and mortality in people living with HIV (PLWH), the prevalence of other sexually transmitted and blood-borne infections (STBBIs) is rising within this population... read more 

Using Large Language Models to Address Contextual Questions in Systematic Reviews.

Cochrane evidence synthesis and methods Feb 26, 2026
OBJECTIVES: Systematic evidence reviews (SERs) produced by the U.S. Agency for Healthcare Research and Quality (AHRQ) Evidence-based Practice Center (EPC) Program use contextual questions to provide context and background information on the topic. Th... read more 
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