Artificial Intelligence Medical Compendium

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

Showing 21,431 to 21,440 of 216,348 articles

Nurses' experiences regarding role boundaries in collaborative AI-Assisted nursing: A meta-synthesis.

Social science & medicine (1982) May 8, 2026
BACKGROUND: Artificial intelligence (AI) is rapidly integrating into the nursing field, evolving from simple assistive tools to complex applications that transform nursing practice models, thereby profoundly impacting the professional jurisdiction of... read more 

Chemical composition, antioxidant, and antifungal properties of Mentha essential oils: insights from chemo-informatic analysis.

Food chemistry May 8, 2026
Essential oils (EOs) from the genus Mentha possess diverse chemotypes and multiple bioactivities, but the relationship between their chemical composition and specific activity remains unclear. In this study, EOs were extracted from fifteen Mentha var... read more 

AI detection of knee joint effusion from radiographs: Comparative accuracy of two commercial algorithms.

European journal of radiology open May 8, 2026
BACKGROUND: Knee joint effusion might indicate injury even without bony changes. Automated detection from radiographs could improve the sensitivity of AI algorithms. PURPOSE: To compare two commercially available AI algorithms, BoneView and RBfractur... read more 

Letter to the Editor Regarding: "OrthoKids and OrthoInfo Response to Training a Bilingual Artificial Intelligence Model on Pediatric Orthopaedic Resources to Enhance the Readability of Patient Education Materials".

Journal of the Pediatric Orthopaedic Society of North America May 8, 2026
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Ethnicity-Stratified Normative Retinal Vascular Features from the UK Biobank Using Deep Learning.

Ophthalmology science May 8, 2026
PURPOSE: Retinal vascular features provide noninvasive biomarkers of systemic vascular health, and deep learning tools such as AutoMorph now enable their large-scale quantification. However, researchers still lack normative data across diverse ethnic... read more 

Pan-FM: A Pan-Organ Foundation Model with Saliency-Guided Masking for Missing Robustness

arXiv May 8, 2026
Foundation models (FMs) have shown great promise in medical imaging, but most FMs are trained on unimodal data within isolated domains, such as brain MRI alone. Human aging and disease arise through coordinated biological processes across organs, the... read more 
Computer Vision and Pattern Recognition cs.AI

Causal EpiNets: Precision-corrected Bounds on Individual Treatment Effects using Epistemic Neural Networks

arXiv May 8, 2026
Individual treatment effects are not point-identified from data. The Probability of Necessity and Sufficiency (PNS) circumvents this limitation by characterizing individual-level causality through intersection bounds derived from combined experimenta... read more 
Machine Learning cs.AI cs.LG econ.EM

A Privacy-Preserving Machine Learning Framework for Edge Intelligence: An Empirical Analysis

arXiv May 7, 2026
As Edge Intelligence (EI) becomes increasingly prevalent in domains such as smart healthcare, manufacturing, and critical infrastructure, ensuring data privacy while maintaining system efficiency is a growing challenge. This paper presents a new priv... read more 
Distributed, Parallel, and Cluster Computing

iTRIALSPACE: Programmable Virtual Lesion Trials for Controlled Evaluation of Lung CT Models

arXiv May 7, 2026
We introduce iTRIALSPACE, a programmable evaluation framework for controlled assessment of lung CT models. Standard benchmarks are static retrospective collections that entangle lesion size, lobe prevalence, anatomy, and acquisition context, making i... read more 
Computer Vision and Pattern Recognition

The autoPET3 Challenge -- Automated Lesion Segmentation in Whole-Body PET/CT - Multitracer Multicenter Generalization

arXiv May 7, 2026
We report the design and results of the third autoPET challenge (MICCAI 2024), which benchmarked automated lesion segmentation in whole-body PET/CT under a compositional generalization setting. Training data comprised 1,014 [18F]-FDG PET/CT studies f... read more 
Computer Vision and Pattern Recognition cs.AI
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