Artificial Intelligence Medical Compendium

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

Showing 34,471 to 34,480 of 221,633 articles

Development and validation of an interpretable machine learning model for predicting urinary incontinence at 6 months after robot-assisted radical prostatectomy.

Journal of robotic surgery Apr 4, 2026
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AI-Assisted Fungal Detection in Dermatopathology: A Study on Accuracy, Efficiency, and Usability.

Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG Apr 4, 2026
BACKGROUND AND OBJECTIVES: AI-based image analysis is increasingly applied in pathology. Excluding fungal elements in PAS-stained skin sections is labor-intensive and well suited for AI assistance. While fungal detection in nails has been studied, sk... read more 

From Earthly companions to extraterrestrial countermeasures: rethinking AI-mediated intimacy for long-duration spaceflight through modular autonomous intimacy companion architecture.

Culture, health & sexuality Apr 4, 2026
The prospect of multi-year missions to the Moon and Mars raises unresolved questions about intimacy, attachment, loneliness and sexual expression in isolated, confined and increasingly autonomous habitats. While the physiological, psychological and o... read more 

Mining Heterogeneous Individual Factors in Sustained Compliance With Major Epidemic Prevention and Control Policies.

The International journal of health planning and management Apr 4, 2026
In major epidemic prevention and control, sustained public compliance with policies is crucial. This study is based on three-phase survey data from 480 residents and integrating machine learning with the SHAP framework, analyzes the heterogeneity and... read more 

Global Coastal Hotspots and the Cascading Effect of Microplastic Burden in Marine Fish.

Environmental science & technology Apr 4, 2026
Microplastic burdens in marine fish exhibit a nonlinear relationship with environmental concentrations, yet current global-scale biological risk assessments suffer from systematic biases. We compiled a comprehensive dataset of microplastic burdens ac... read more 

Association Between Environmental Chemicals Phthalates and Stroke Among the US Adults: A Cross-Sectional Study.

Cardiovascular toxicology Apr 4, 2026
Stroke has a multifactorial etiology, and phthalates, as widely used environmental chemicals, may play an underexplored role in cerebrovascular health. This study aimed to evaluate the association between urinary phthalate metabolites and stroke risk... read more 

Developing an artificial intelligence tool for detecting fractures of child abuse: preliminary findings.

European radiology Apr 4, 2026
OBJECTIVES: Approximately 6.9% of children in the United Kingdom have suffered physical abuse. Fractures are a common sign and must not be overlooked due to high recurrence and mortality rates. We aimed to train and assess the diagnostic accuracy of ... read more 

Application of transformer-enhanced convolutional neural network: multicenter MRI assessment of muscle invasion in bladder cancer.

European radiology Apr 4, 2026
OBJECTIVE: Accurate preoperative assessment of muscle invasion in bladder cancer (BCa) guides therapy selection. However, MRI interpretation varies across readers and lesion morphologies. Therefore, we aimed to overcome the morphology-associated diag... read more 

Dual-layer spectral CT for predicting spread through air spaces in lung adenocarcinoma: a dual-center study.

European radiology Apr 4, 2026
OBJECTIVES: To investigate the value of machine learning classifiers incorporating dual-layer spectral CT (DLCT) parameters for preoperative prediction of spread through air spaces (STAS) in patients with lung adenocarcinoma. MATERIALS AND METHODS: T... read more 

Identification of potential inhibitors of 3‑mercaptopyruvate sulfurtransferase with a deep-learning based screening of natural products.

Journal of computer-aided molecular design Apr 4, 2026
3-Mercaptopyruvate sulfurtransferase (3-MST), a key enzyme in sulfur metabolism, has recently gained attention as a potential anticancer target. However, reported 3-MST inhibitors remain limited, motivating the exploration of new scaffolds such as na... read more 
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