Artificial Intelligence Medical Compendium

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

Showing 12,731 to 12,740 of 210,436 articles

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 

Evaluating the Potential of Machine Learning for Discharge Management on Routine Health Insurance Data.

Studies in health technology and informatics May 21, 2026
Machine learning (ML) has great potential in healthcare, especially with large structured data. Routine health insurance claims (HIC) data are a valuable resource, comprising standardized longitudinal patient information. However, to fully leverage M... read more 

Identification of Cervical Cancer Biomarkers Using Gene Co-Expression Networks and Machine Learning Methods.

Studies in health technology and informatics May 21, 2026
Cervical cancer (CC) causes significant mortality due to late diagnosis and limited understanding of its molecular drivers. The complex gene co-expression patterns associated with CC remain poorly characterized. Identifying key genes that distinguish... read more 

Neurologists' Expectations of AI in Clinical Practice: A Study on Task Prioritisation and Patient-Centred Perspectives.

Studies in health technology and informatics May 21, 2026
As part of the digital health transformation, artificial intelligence (AI) is reshaping patient-centred care by merging technological innovation with value-driven healthcare, particularly in chronic disease management, where long-term care continuity... read more 

Machine Learning Models for Predicting Mortality Risk and Survival Time in Lung Cancer Patients Treated with EGFR-TKIs.

Studies in health technology and informatics May 21, 2026
This study develops machine learning models to predict patient mortality and estimate survival time using electronic health record (EHR) data from three Taipei Medical University-affiliated hospitals (TMU Hospital, Wan-Fang Hospital, and Shuang Ho Ho... read more 

Machine Learning Prediction of Growth Hormone Response in Children Non-Growth Hormone-Deficient Short Stature.

Studies in health technology and informatics May 21, 2026
Height gain under recombinant human growth hormone (rhGH) varies widely in children with short stature, making early, reliable response prediction essential for individualized care. Using routinely collected data from Bambino Gesù Children's Hospital... read more 

Knowledge-Based Interpretation of Multi-Modal Clinical Findings: Evaluating a Local Agentic Bridge Between Worlds.

Studies in health technology and informatics May 21, 2026
Contemporary clinical practice still produces unstructured data like free-text reports or scans, hindering automated interpretation by knowledge-based clinical decision support (CDS) systems that rely on structured data. Large language models (LLMs) ... read more 
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