Artificial Intelligence Medical Compendium

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

Showing 13,521 to 13,530 of 211,153 articles

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 

Machine Learning for Cardiovascular Prevention Prescriptions: Real-World vs. Synthetic Data.

Studies in health technology and informatics May 21, 2026
Cardiovascular diseases remain the leading cause of death worldwide, primarily driven by atherosclerosis, which is targeted by lipid-lowering agents such as statins and berberine. This study investigates the use of machine learning (ML) to predict ex... read more 

Clinical Diagnosis of Rare Diseases Using Leaky Noisy-OR Bayesian Networks.

Studies in health technology and informatics May 21, 2026
This study presents a probabilistic method for the clinical diagnosis of rare diseases using leaky noisy-OR Bayesian networks automatically constructed from Orphanet and Human Phenotype Ontology data. The resulting model represents diseases and pheno... read more 

Integrating Causal Inference and Agent-Based Modelling to Assess the Impact of Clinicians' Guideline Adherence in Older Adults Hospitalized with Pneumonia.

Studies in health technology and informatics May 21, 2026
This study integrates agent-based modeling (ABM) and causal machine learning (ML) to assess the impact of clinicians' adherence to antibiotic guidelines in older adults hospitalized with community-acquired pneumonia (CAP). Using a synthetic populatio... read more 

Multimodal Graph-Based Model for Discrete-Time Survival Prediction in Liver Cancer.

Studies in health technology and informatics May 21, 2026
Liver cancer is a leading cause of cancer mortality; hepatocellular carcinoma (HCC), its predominant form, requires accurate survival prediction to guide prognosis and treatment decisions. We propose a multimodal framework for discrete-time survival ... read more 
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