Artificial Intelligence Medical Compendium

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

Showing 60,291 to 60,300 of 228,072 articles

Developing a Quality Evaluation Index System for Health Conversational Artificial Intelligence: Mixed Methods Study.

Journal of medical Internet research Jan 19, 2026
BACKGROUND: Effective communication is fundamental to health care; however, demographic transitions and a widening global health workforce gap are intensifying the imbalance between service demand and resource supply. Health conversational artificial... read more 
Humans Artificial Intelligence Delphi Technique

Model uncertainty estimates for deep learning mammographic density prediction using ordinal and classification approaches.

Biomedical physics & engineering express Jan 19, 2026
Mammographic density is associated with the risk of developing breast cancer and can be predicted using deep learning methods. Model uncertainty estimates are not produced by standard regression approaches but would be valuable for clinical and resea... read more 

Machine Learning Prediction Models for Preeclampsia: Systematic Review and Meta-Analysis.

Journal of medical Internet research Jan 19, 2026
BACKGROUND: Preeclampsia is a severe hypertensive disorder with rising global prevalence. While machine learning (ML) models for predicting preeclampsia are increasingly published, existing evidence shows high heterogeneity, and the distinction betwe... read more 
Humans Machine Learning Pregnancy Female Pre-Eclampsia

OCT-Derived Virtual Fractional Flow Reserve Associated With 1-Year Outcomes After PCI in ACS Patients.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Jan 19, 2026
BACKGROUND: Despite PCI, many acute coronary syndrome (ACS) patients experience major adverse cardiovascular events (MACE). Angiography is limited, and fractional flow reserve (FFR) is restricted by cost and specialized resource requirements. Optical... read more 

Machine Learning for Predicting Malignant Transformation in Actinic Cheilitis: A Prognostic Support System Based on Demographic and Clinical Descriptors.

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology Jan 19, 2026
OBJECTIVE: This study aimed to develop and evaluate Machine Learning models to predict the malignant transformation (MT) in patients with actinic cheilitis (AC). METHODS: Three hundred forty patients diagnosed with AC (322 in the no MT group, and 18 ... read more 

Model-agnostic linear-memory online learning in spiking neural networks.

Nature communications Jan 19, 2026
Spiking neural networks (SNNs) offer a promising paradigm for modeling brain dynamics and developing neuromorphic intelligence, yet an online learning system capable of training rich spiking dynamics over long horizons with low memory footprints has ... read more 

Predictive design of stretchable electrodes with strain-insensitive performance via robotics- and machine learning-integrated workflow.

Nature communications Jan 19, 2026
Innovations in wearable electronics and soft robotics hinge significantly on the development of stretchable electrodes. However, a persistent challenge lies in balancing high stretchability, functional performance, and strain insensitivity. Conventio... read more 

Physical neural networks using sharpness-aware training.

Nature communications Jan 19, 2026
Recent advances in AI are pushing the limits of traditional hardware, making physical neural networks (PNNs) a promising alternative. However, training PNNs remains challenging: in silico training suffers from model-reality mismatch, while in situ tr... read more 

Predicting Helicoverpa zea (Lepidoptera: Noctuidae) populations in the southern United States.

Environmental entomology Jan 19, 2026
Forecasting insect pest populations before crops are planted can help improve management and reduce pesticide use. Pests with long dispersal potentials and wide host ranges are difficult to predict but often cause losses in crops across broad spatial... read more 
Machine Learning Animals United States Population Dynamics Models, Biological Moths

Towards generalisable and equitable artificial intelligence in pathology.

Journal of clinical pathology Jan 19, 2026
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