Artificial Intelligence Medical Compendium

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

Showing 12,721 to 12,730 of 210,436 articles

Reuse of EUCAIM Ontology for Prescreening Use Case.

Studies in health technology and informatics May 21, 2026
Implementing patient-trial matching during Clinical Trials (CT) execution requires a time consuming and usually manual processing of eligibility criteria (EC) focusing on those that are both the most relevant at the pre-inclusion step and the most co... read more 

Bridging Expertise with Algorithms: Evaluation of Generative AI in Nursing Decisions.

Studies in health technology and informatics May 21, 2026
Integrating generative artificial intelligence (GenAI) into nursing clinical decision-making (CDM) offers potential to bridge expertise gaps. This randomized, double-blind simulation (n=69) compared nurses' perceptions of GenAI-generated clinical adv... read more 

Can LLMs Turn French PET/CT Narrative Reports into Structured Knowledge?

Studies in health technology and informatics May 21, 2026
This study evaluates large language models (LLMs) for information extraction from French PET/CT reports related to cognitive impairment, focusing on descriptive patterns of cerebral metabolism, perfusion and uptake for three radiotracers, as well as ... read more 

Distribution Shift Analysis in Generalizable Modelling: Intensive Care Time-Series Data.

Studies in health technology and informatics May 21, 2026
In this paper, we investigate how distribution shift affects model generalizability in medical time-series from intensive care. We define clinically relevant domain adaptation scenarios for predicting hypotension and hypoxemia using the MIMIC-III Mat... read more 

Harnessing Clinical Data Streams for Nursing Workload Prediction Using Artificial Intelligence.

Studies in health technology and informatics May 21, 2026
The increasing workload in inpatient care and the ongoing shortage of skilled workers require new approaches to demand-oriented personnel planning. A machine learning approach is presented that predicts the nursing workload in minutes on a daily basi... read more 

Using Large Language Models to Automate the Comparison and Integration of Evolving Clinical Practice Guidelines into Clinical Decision Support Systems.

Studies in health technology and informatics May 21, 2026
Clinical decision support systems (CDSSs) can improve the compliance of therapeutic decisions with clinical practice guidelines (CPGs). However, the rapid evolution of CPGs creates major challenges in keeping CDSS knowledge bases up to date. This stu... read more 

A Knowledge Graph to Represent and Predict Cancer Mechanistic Associations.

Studies in health technology and informatics May 21, 2026
A range of underlying mechanistic relationships influences the incidence of cancer. Understanding these mechanisms can help develop personalized interventions to manage cancer progression. AI-driven biomedical knowledge graphs (KG) can represent comp... read more 

Headache Diagnosis with Open Language Models on German Vignettes: Study Protocol.

Studies in health technology and informatics May 21, 2026
Headache disorders present diagnostic challenges due to their clinical heterogeneity and the extensive taxonomy of the ICHD-3 classification. While large language models (LLMs) have recently demonstrated impressive diagnostic reasoning capabilities, ... read more 

Artificial Intelligence-Based Prediction of Progression from Gestational Diabetes to Type 2 Diabetes.

Studies in health technology and informatics May 21, 2026
Women with a history of gestational diabetes mellitus (GDM) are at elevated risk of developing type 2 diabetes mellitus (T2DM) postpartum. This study explores the use of interpretable machine-learning models to examine associations between clinical, ... read more 

Machine Learning Applications Within the Earlier Medicine Framework for Stroke: A Scoping Review.

Studies in health technology and informatics May 21, 2026
This scoping review explores how machine learning (ML) has been applied to stroke research within the Earlier Medicine framework, which promotes proactive and personalized care through primary (preventive care), secondary (acute care), and tertiary (... read more 
Popular Topics
Recent Journals