Artificial Intelligence Medical Compendium

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

Showing 10,061 to 10,070 of 208,614 articles

MuNet: A Mutualistic Network for Joint 3D Human Mesh Recovery and 3D Clothed Human Reconstruction from Single Images

arXiv May 25, 2026
3D human mesh recovery and 3D clothed human reconstruction are inherently related, yet they have long been studied in isolation, thereby overlooking the potential gains of joint optimization. To overcome this limitation, we propose to address these t... read more 
Computer Vision and Pattern Recognition cs.AI

AI-T2I: Aggregating-and-Isolating Cross-Attention to Diffusion Models for Text-to-Image Synthesis

arXiv May 25, 2026
Text-to-image synthesis has made significant progress, benefiting from the strong generative capabilities of diffusion models. However, these models struggle to achieve precise text-to-image alignment within cross-attention maps during the denoising ... read more 
Computer Vision and Pattern Recognition

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation

arXiv May 25, 2026
Estimating continuous optical flow is a fundamental yet challenging problem in dynamic visual perception. Event-based cameras, with microsecond latency and high dynamic range, capture brightness changes asynchronously, offering a unique opportunity t... read more 
Computer Vision and Pattern Recognition

ControlLight: Towards Controllable, Consistent, and Generalizable Low-Light Enhancement

arXiv May 25, 2026
Existing deep learning-based low-light enhancement methods are typically trained on limited datasets with single enhancement targets, which restricts their generalization ability and controllability in real-world applications. To overcome these limit... read more 
Computer Vision and Pattern Recognition

When Rule Violations Are Rare: Chimera Training for Logical Anomaly Detection

arXiv May 25, 2026
Many practical anomalies are not merely rare inputs, but violations of semantic constraints: objects co-occur in structured ways, actions imply preconditions, and events satisfy temporal or relational regularities. We study anomaly detection in this ... read more 
Machine Learning

Development and validation of an early prediction model for bee-sting-induced acute kidney injury using machine learning.

Renal failure May 25, 2026
Acute kidney injury (AKI) is a severe and frequent complication following bee stings, with a reported incidence of 30-50%. Early identification is clinically challenging due to the delayed rise in serum creatinine. This retrospective study aimed to d... read more 

Predicting fire consequences with the transformer model based on multimodal feature fusion.

Journal of cheminformatics May 25, 2026
Accurate prediction of fire consequences is fundamental to process safety management and quantitative risk assessment in the chemical process industries. Traditional empirical and computational fluid dynamics models often struggle to balance computat... read more 

A hybrid cluster-then-predict machine learning radiotherapy knowledge-based planning framework for similarity matching using holistic target-OAR constellation geometry.

Radiation oncology (London, England) May 25, 2026
PURPOSE: Radiotherapy treatment planning is currently premised on individual clinical experience and use of many dose based optimization and knowledge-based planning (KBP) models. This study introduces and validates a novel KBP algorithm that matches... read more 

MicroRNAs in endometriosis: bioinformatics resources, machine learning strategies, and multi-omics perspectives.

Journal of translational medicine May 25, 2026
BACKGROUND: Endometriosis is a heterogeneous gynecological disorder characterized by chronic pain, infertility, and substantial impairment of quality of life. Increasing evidence indicates that microRNAs (miRNAs) are key regulators of endometriosis p... read more 

Standardizing antiviral response metrics for mono- and combination therapies in acute, chronic and latent viral infections.

Virology journal May 25, 2026
The COVID-19 pandemic showed that heterogeneous antiviral assay designs, endpoints and reporting practices can obscure which candidate drugs and combinations are genuinely promising. As antiviral discovery expands from acute infections to chronic and... read more 
Popular Topics
Recent Journals