Artificial Intelligence Medical Compendium

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

Showing 1,181 to 1,190 of 200,346 articles

Environmental Levels of Sodium p-Perfluorous Nonenoxybenzene Sulfonate Induce Nephritis in Renal Proximal Tubular Epithelial Cells via Modulation of Estrogen Signaling Pathways.

Journal of biochemical and molecular toxicology Jun 1, 2026
Sodium p-perfluorous nonenoxybenzene sulfonate (OBS), widely used as an alternative to per- and polyfluoroalkyl substances, has been implicated in toxicity across multiple organ systems. Currently, its effects on renal health remain poorly characteri... read more 

Students' Perspectives on Digital Psychotherapy-Possible Solutions for Digital Inpatient-Like Care Concepts: Qualitative Interview Study.

JMIR medical education Jun 1, 2026
BACKGROUND: The demand for mental health treatment is increasing, while the availability of treatment remains insufficient to meet the rising demand. Alternative solutions need to be explored to enable access to care for patients who cannot participa... read more 

CM-MTL-DTI: Drug-Target Interaction Prediction via Cross-Modal Alignment and Multi-Task Learning.

Journal of chemical information and modeling Jun 1, 2026
Drug-target interaction (DTI) prediction is critical for candidate compound screening and elucidation of mechanisms of action in drug discovery and repurposing. However, existing methods often rely on unimodal representations, global fusion, or shall... read more 

Innovations in Electrochemical Sensors for TNT Explosive Detection: From Nanomaterials to Wearable Devices and Artificial Intelligence.

Critical reviews in analytical chemistry Jun 1, 2026
The detection of explosive residues, particularly nitroaromatic compounds such as 2,4,6-trinitrotoluene (TNT), is a major global concern because of their threats to security, public health, and environmental safety. TNT is highly toxic, chemically st... read more 

Explainable machine learning in healthcare: methods, interpretation, and applications for clinical research.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2026
OBJECTIVES: To provide a practical and methodologically grounded overview of explainable machine learning (XML) approaches in healthcare, with emphasis on their interpretation and application in clinical research and decision support. By moving beyon... read more 

Non-contact air humidity recognition based on the fusion of laser-induced breakdown spectroscopy-acoustic signals and machine learning.

Optics letters Jun 1, 2026
Addressing the limited adaptability of traditional air humidity detection technology in complex environments, a multimodal air humidity recognition system based on the fusion of laser-induced breakdown spectroscopy (LIBS) and laser-induced plasma aco... read more 

Deep learning-enabled computational adaptive-optics for fast continuous zoom microscopy.

Optics letters Jun 1, 2026
Conventional optical microscopes are constrained by discrete magnification settings, limiting continuous multi-scale observation. Although liquid lenses enable continuous zoom, their practical performance is often compromised by dynamic aberrations a... read more 

Pre-monitoring-assisted deep cascaded network for nonlinear equalization in coherent optical communication systems.

Optics letters Jun 1, 2026
Machine learning (ML) has emerged as a promising technique for nonlinear equalization in coherent optical communication systems. However, conventional ML-based equalization schemes typically rely on fixed network architectures and parameters, limitin... read more 

Deep-learning-accelerated meta-beam-splitter design accounting for near-field coupling effects.

Optics letters Jun 1, 2026
We propose a deep-learning-based method for rapid meta-beam-splitter design that accounts for near-field coupling effects. This method combines beam-shaping optimization with a convolutional neural network that predicts the coupling-aware complex nea... read more 

The Historical Evolution of Microlearning in Health Professions Education: Bibliometric Analysis.

JMIR medical education Jun 1, 2026
BACKGROUND: Microlearning has emerged as a flexible, technology-enabled instructional approach in health professions education, yet its longitudinal evolution, collaboration patterns, and thematic development remain underexplored. OBJECTIVE: This stu... read more 
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