Artificial Intelligence Medical Compendium

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

Showing 15,921 to 15,930 of 213,401 articles

The SURROGATOR Framework for Context-Aware Surrogation of Privacy Sensitive Information in Medical Text.

Studies in health technology and informatics May 21, 2026
Clinical text cannot be shared freely due to data protection regulations. This paper introduces SURROGATOR, an open-source framework that replaces personal identifiable information with fictitious, high-fidelity synthetic surrogates to maintain text ... read more 

Recovering Sensitive Medical Text in Federated Learning.

Studies in health technology and informatics May 21, 2026
Federated Learning (FL) allows institutions to train shared models without exchanging raw data, making it a promising approach for healthcare applications that involve sensitive electronic health records (EHRs). However, despite this distributed desi... read more 

The Somnolink-Hub: A Central Infrastructure That Unites Sleep Data at Point of Care.

Studies in health technology and informatics May 21, 2026
Obstructive sleep apnea (OSA) is a sleeping disorder which can lead to severe health consequences. Information gaps in the patient's diagnostic path may result in duplicate examinations, while patients wait long for sleep diagnostics. We propose an a... read more 

Federated Deception Intelligence and the ASKOS Solution for Cyber-Resilient Healthcare Infrastructures.

Studies in health technology and informatics May 21, 2026
Healthcare infrastructures face escalating cybersecurity risks caused by legacy systems, connected IoMT devices, and complex data-sharing environments. Conventional intrusion detection and SIEM systems provide limited protection against zero-day and ... read more 

Decoding the role of polyamine metabolism in lung adenocarcinoma prognosis: A triangulated approach combining transcriptome, single-cell and Mendelian randomization analyses.

Oncology letters May 21, 2026
The progression of lung adenocarcinoma (LUAD) is influenced by polyamine metabolism, which modulates antitumor immunity, although the underlying mechanisms remain unclear. The present study investigates the role of polyamine metabolism-related genes ... read more 

Rethinking Noise-Robust Training for Frozen Vision Foundation Models: A Cross-Dataset Benchmark with a Case Study of Small-Loss Failure

arXiv May 21, 2026
Frozen Vision Foundation Models (VFMs) with lightweight classification heads are increasingly used in medical imaging because they offer efficient and reproducible deployment. Yet noisy-label learning methods for this frozen-feature regime remain poo... read more 
Computer Vision and Pattern Recognition

Decoupling Ego-Motion from Target Dynamics via Dual-Interval Motion Cues for UAV Detection

arXiv May 21, 2026
Object detection from Unmanned Aerial Vehicles (UAVs) is challenged by severe ego-motion, camera jitter, and large scale variations. While modern detectors perform well on static images, their direct application to UAV video often fails, particularly... read more 
Robotics cs.CV

Benchmarking Machine Learning Architectures for Antimicrobial Stewardship in Pediatric ICUs

arXiv May 21, 2026
Antimicrobial stewardship (AMS) is critical in pediatric intensive care units (PICUs), where diagnostic uncertainty often drives broad-spectrum antibiotic use, increasing antimicrobial resistance and potential long-term harms. Machine learning offers... read more 
Machine Learning

Healthcare LLM Benchmarks Are Only as Good as Their Explicit Assumptions

arXiv May 21, 2026
Benchmarks are necessary for healthcare evaluation, but are not sufficient for predicting deployment performance. Our position is that the evaluation--deployment gap arises not because of poorly designed benchmarks, but from implicit assumptions abou... read more 
Computers and Society cs.AI cs.LG

GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT

arXiv May 21, 2026
Grounding radiology report descriptions to 3D CT volumes is essential for verifiable clinical interpretation, yet remains challenging due to the semantic-spatial gap between free-text narratives and volumetric anatomy. Existing report-assisted and vi... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals