Artificial Intelligence Medical Compendium

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

Showing 38,711 to 38,720 of 223,469 articles

Retinal imaging and AI for non-invasive detection of diabetic macrovascular complications.

Microvascular research Mar 25, 2026
BACKGROUND: Diabetes mellitus accelerates vascular degeneration and increases the risk of major macrovascular complications, including Peripheral Arterial Disease (PAD) and aortic pathologies, collectively termed Peripheral Arterial and Aortic Diseas... read more 

Reducing breath-hold time in liver MRI: Clinical performance of deep learning-accelerated post-contrast T1 VIBE sequences.

European journal of radiology Mar 25, 2026
BACKGROUND: Post-contrast liver MRI often requires long breath-holds, risking motion artifacts that can reduce diagnostic quality. We assessed whether deep learning-accelerated acquisitions can shorten breath-holds while maintaining diagnostic image ... read more 

LGTM: Training-Free Light-Guided Text-to-Image Diffusion Model via Initial Noise Manipulation

arXiv Mar 25, 2026
Diffusion models have demonstrated high-quality performance in conditional text-to-image generation, particularly with structural cues such as edges, layouts, and depth. However, lighting conditions have received limited attention and remain difficul... read more 
Computer Vision and Pattern Recognition cs.GR

Comparative analysis of dual-form networks for live land monitoring using multi-modal satellite image time series

arXiv Mar 25, 2026
Multi-modal Satellite Image Time Series (SITS) analysis faces significant computational challenges for live land monitoring applications. While Transformer architectures excel at capturing temporal dependencies and fusing multi-modal data, their quad... read more 
Image and Video Processing cs.AI cs.CV

Retinal Layer Segmentation in OCT Images With 2.5D Cross-slice Feature Fusion Module for Glaucoma Assessment

arXiv Mar 25, 2026
For accurate glaucoma diagnosis and monitoring, reliable retinal layer segmentation in OCT images is essential. However, existing 2D segmentation methods often suffer from slice-to-slice inconsistencies due to the lack of contextual information acros... read more 
Computer Vision and Pattern Recognition

Combi-CAM: A Novel Multi-Layer Approach for Explainable Image Geolocalization

arXiv Mar 25, 2026
Planet-scale photo geolocalization involves the intricate task of estimating the geographic location depicted in an image purely based on its visual features. While deep learning models, particularly convolutional neural networks (CNNs), have signifi... read more 
Computer Vision and Pattern Recognition

S4CMDR: a metadata repository for electronic health records

arXiv Mar 25, 2026
Background: Electronic health records (EHRs) enable machine learning for diagnosis, prognosis, and clinical decision support. However, EHR standards vary by country and hospital, making records often incompatible. This limits large-scale and cross-cl... read more 
Information Retrieval

S4CMDR: a metadata repository for electronic health records

arXiv Mar 25, 2026
Background: Electronic health records (EHRs) enable machine learning for diagnosis, prognosis, and clinical decision support. However, EHR standards vary by country and hospital, making records often incompatible. This limits large-scale and cross-cl... read more 
Information Retrieval

The Alignment Tax: Response Homogenization in Aligned LLMs and Its Implications for Uncertainty Estimation

arXiv Mar 25, 2026
RLHF-aligned language models exhibit response homogenization: on TruthfulQA (n=790), 40-79% of questions produce a single semantic cluster across 10 i.i.d. samples. On affected questions, sampling-based uncertainty methods have zero discriminative po... read more 
Machine Learning cs.AI cs.CL

MedAidDialog: A Multilingual Multi-Turn Medical Dialogue Dataset for Accessible Healthcare

arXiv Mar 25, 2026
Conversational artificial intelligence has the potential to assist users in preliminary medical consultations, particularly in settings where access to healthcare professionals is limited. However, many existing medical dialogue systems operate in a ... read more 
Computation and Language cs.AI cs.LG
Popular Topics
Recent Journals