Artificial Intelligence Medical Compendium

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

Showing 2,871 to 2,880 of 235,381 articles

An update on miRNAs as non-invasive diagnostic markers for endometriosis: Why have we not reached consensus?

Journal of minimally invasive gynecology
The objective of this narrative review is to provide an update on microRNAs (miRNAs) as non-invasive biomarkers for endometriosis diagnosis focusing on publications from 2016 to 2026. In addition to updating miRNAs reported during this time frame, we... read more 

Digital Twins in Toxicology: Toward Predictive, Personalized and Real-Time Risk Assessment.

Toxicology
Toxicology has accumulated many predictive tools - physiologically based pharmacokinetic (PBPK) models, quantitative systems pharmacology (QSP) frameworks organ-on-chip systems, quantitative structure-activity relationship (QSAR) models, adverse outc... read more 

Artificial Intelligence in Cardiac Electrophysiology Ethics, Explainability, Equity, and the Road Ahead.

Indian pacing and electrophysiology journal
Artificial intelligence (AI) is rapidly transforming cardiac electrophysiology (EP) by enabling automated interpretation of electrocardiograms, intracardiac electrograms, wearable sensor data, and imaging modalities. These technologies promise improv... read more 

Bayesian optimization for design parameters of 3D image data analysis.

SLAS technology
Deep learning-based segmentation and classification are crucial to large-scale biomedical imaging, particularly for 3D data, where manual analysis is impractical. Although many methods exist, selecting suitable models and tuning parameters remains a ... read more 

Knowledge-guided Multimodal Learning for Interpretable Prediction of Pathological Complete Response and Survival in Breast Cancer.

Laboratory investigation; a journal of technical methods and pathology
PURPOSE: Pretreatment estimation of pathological complete response (pCR) to neoadjuvant chemotherapy may support risk stratification and future response-adapted clinical studies in breast cancer. However, existing deep learning approaches often rely ... read more 

Relationships between speech-in-noise comprehension, lip reading ability and cortical speech tracking in talking avatars as well as natural talking heads.

NeuroImage
In noisy listening environments, visual cues from a speaker's face can significantly boost speech comprehension. The underlying audiovisual integration in the brain involves tracking of audiovisual speech features in the temporal lobe. Moreover, lip ... read more 

Deep-learning histopathradiomics enables high-throughput quantification of pollutant-induced tissue injury in marine mussels.

Environmental pollution (Barking, Essex : 1987)
Quantitative tissue-level biomarkers are important for assessing pollutant-induced biological effects, yet conventional histopathology remains largely manual, low-throughput, and observer-dependent. We developed a deep learning-based histopathradiomi... read more 

International consensuses and guidelines on etiology, diagnosis, and treatment of retinal vein occlusion (RVO) by the Academy of Asia-Pacific Professors of Ophthalmology (AAPPO), Asia-Pacific Vitreo-retina Society (APVRS) and Academia Retina Internationalis (ARI).

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Retinal vein occlusion (RVO) is a prevalent potentially blinding retinal vascular disease, with secondary macular edema, retinal ischemia, and ocular neovascular complications posing substantial threats to visual function. Supported by members of the... read more