Artificial Intelligence Medical Compendium

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

Showing 14,231 to 14,240 of 211,815 articles

CACRC-Pan: A Concept Annotated Case Report Corpus and Processing Pipeline for Rare Pancreatic Diseases.

Studies in health technology and informatics May 21, 2026
We introduce CACRC-Pan, a corpus of case reports for six rare pancreatic diseases (AIP1-2, CF, HCP, PS and SDS) annotated at two concept levels: token-level symptom labels (HPO-coded spans) and document-level disease labels. This dual annotation enab... read more 

Building a Silver-Standard Dataset from NICE Guidelines for Clinical LLMs.

Studies in health technology and informatics May 21, 2026
Large language models (LLMs) are increasingly used in healthcare, yet standardised benchmarks for evaluating guideline-based clinical reasoning are missing. This study introduces a validated dataset derived from the UK's National Institute for Health... read more 

Extraction of Endoscopic Markers from Clinical Notes in Italian Patients with Autoimmune Atrophic Gastritis Using Small Language Models.

Studies in health technology and informatics May 21, 2026
While Large Language Models (LLMs) hold great potential for clinical applications, their use is limited by concerns regarding data privacy, high computational demand, and the risk of hallucinations. Small Language Models (SLMs) are a promising soluti... read more 

CONORM-DEID: Robustness Evaluation of a Multilingual De-Identification System for Clinical Texts.

Studies in health technology and informatics May 21, 2026
Clinical narratives contain rich, detailed information that is essential for medical research but often locked behind privacy constraints due to the presence of personally identifiable information. To enable secondary use while protecting patient con... read more 

OpenExtract: Automated Data Extraction for Systematic Reviews in Health.

Studies in health technology and informatics May 21, 2026
This study presents OpenExtract, an open-source pipeline for automated data extraction in large-scale systematic literature reviews. The pipeline queries large language models (LLMs) to predict data entries based on relevant sections of scientific ar... read more 

Enhancing Explainable AI Stability with Realistic Synthetic Data for Cardiovascular Risk Prediction.

Studies in health technology and informatics May 21, 2026
Data-driven such as machine learning models in rare disease research faces a significant challenge: scarce data cause performance degradation and unstable explanations that undermine clinical trust. This study investigated whether synthetic data augm... read more 

Generating Human-Readable Labels for SNOMED CT Expressions with LLMs: A Study on Model Performance and Rater Subjectivity.

Studies in health technology and informatics May 21, 2026
Post-coordinated SNOMED CT expressions lack human-readable labels, hindering their use in analytics and representation learning. To address this issue, we evaluated labels for 100 SNOMED CT expressions generated by a large language model (LLM), which... read more 

THERA-IE: An AI-Enabled System for Therapeutic Indication Identification and Extraction from Biomedical Literature.

Studies in health technology and informatics May 21, 2026
Drug-indication knowledge underpins evidence-based prescribing but remains challenging to maintain manually. Existing resources incompletely represent off-label uses that may be captured within artificial intelligence models or described in the biome... read more 

Auto Ontology: Towards Automated Term-to-Concept Assignment in Microbiology Analytics.

Studies in health technology and informatics May 21, 2026
Maintaining clinical ontologies requires continuous addition of new synonyms from laboratory information systems, which is currently a manual and time-consuming process. This study evaluates whether text embedding models can support semi-automated sy... read more 

Interpreting ECG Images with Multimodal Large Language Models.

Studies in health technology and informatics May 21, 2026
Cardiac diseases are one of the leading causes of death worldwide. Electrocardiography (ECG) is one of the major diagnostic methods to detect cardiac diseases, including historical and acute myocardial infarction and arrhythmias. Recent advancements ... read more 
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