Artificial Intelligence Medical Compendium

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

Showing 47,811 to 47,820 of 224,199 articles

Mask - Region-based Convolutional Neural Networks (R-CNN) with Radiomics Integration and Gray Level Co-occurrence Matrix (GLCM) for brain tumor detection and segmentation.

PloS one Feb 23, 2026
Early diagnosis of brain tumors is important for successful treatment and better patient consequences in industrial information systems. This research employs Mask Region-based Convolutional Neural Networks (R-CNN), radiomics integration, and the Gra... read more 

Perspectives and preferences of domestic violence survivors regarding digital platform and AI chatbot for help-seeking: A qualitative study.

PloS one Feb 23, 2026
BACKGROUND: Domestic violence (DV) is a pervasive public health issue with profound physical, psychological, and social consequences. Help-seeking, particularly access to advocacy interventions, plays a pivotal role in promoting resilience and mental... read more 

Incorporating topical stance into signed bipartite networks for user retweet prediction.

PloS one Feb 23, 2026
Social networks accelerate information dissemination, and retweet behavior is an important way of user interaction. User retweet prediction analyzes user characteristics to predict retweet behavior and emotional polarity, which can help platforms und... read more 

A novel bridge wind-induced vibration response prediction algorithm based on temporal convolution network.

PloS one Feb 23, 2026
The stiffness of the high pier, large span rigid bridge in the operation period increases its ability to resist wind-induced vibration. However, the structural properties of high piers and long cantilevers make it susceptible to wind-induced vibratio... read more 

Trustworthy AI for medical decisions: Adversarially robust and fair machine learning prediction for Parkinson's disease.

PloS one Feb 23, 2026
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor and non-motor symptoms, including tremor, rigidity, and postural instability. Machine learning (ML) models have shown promise for the diagnosis of PD; however, many exist... read more 

Hyperspectral imaging for intraoperative brain tumor identification through fusion of spectral, textural, and spectral index features.

PloS one Feb 23, 2026
Brain tumor is a common neurological surgical disease, where surgical resection is the primary treatment method. Neurosurgeons need to accurately determine the location of the tumor during tumor resection surgery, but existing clinical tumor identifi... read more 

CMCL-DDI: Pharmacophore-aware cross-view contrastive learning for drug-drug interaction prediction.

PloS one Feb 23, 2026
Accurate prediction of potential drug-drug interactions (DDIs) is vital for ensuring medication safety and efficacy. Existing graph-based methods typically focus on molecular structures but often overlook the complementary semantic information embedd... read more 

A novel transformer-based platform for the prediction and design of biosynthetic gene clusters for (un)natural products.

PLoS computational biology Feb 23, 2026
Biosynthetic gene clusters (BGCs), comprising sets of functionally related genes responsible for synthesizing complex natural products, are a rich source of bioactive compounds with pharmaceutical potential. Here, we present a transformer-based frame... read more 

Correction to: Pragmatic Approaches to the Evaluation and Monitoring of Artificial Intelligence in Health Care: A Science Advisory From the American Heart Association.

Circulation Feb 23, 2026
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The Predictive Value of Machine Learning for Postoperative Delirium in Cardiac Surgery: Systematic Review and Meta-Analysis.

Journal of medical Internet research Feb 23, 2026
BACKGROUND: Postoperative delirium (POD) following cardiac surgery is a severe complication, and early identification of delirium risk remains a challenge in clinical practice. While machine learning (ML) has garnered increasing attention in health c... read more 
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