Artificial Intelligence Medical Compendium

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

Showing 15,571 to 15,580 of 213,137 articles

A Real-Time Clinical Text Information Extractor via LLM.

Studies in health technology and informatics May 21, 2026
The extraction of structured information from unstructured clinical text is a critical requirement for real-time decision support and research applications in oncology. In this study, we present a modular pipeline leveraging locally deployed Large La... read more 

Enhancing Ontology Engineering with Large Language Models: A Stage-Wise Human-in-the-Loop Study.

Studies in health technology and informatics May 21, 2026
Ontology engineering plays a critical role in modelling structured knowledge and ensuring semantic interoperability in digital healthcare. However, manually developing ontologies is time-consuming and dependent on human expertise. This study investig... read more 

Evaluating the Role of Order and Time Information for Classifying Sequences of Healthcare Events Derived from Claims Data.

Studies in health technology and informatics May 21, 2026
Sequences of healthcare events from claims data are increasingly used for predictive modeling. Despite the rise in popularity of neural networks, the benefit of modeling event order and timing remains underexplored. We simulated patient trajectories ... read more 

Describing Data Processing in FHIR: AI-Assisted Interoperability for Cancer Stage Extraction.

Studies in health technology and informatics May 21, 2026
INTRODUCTION: Creating interoperable clinical data models in FHIR is essential but often labor-intensive. This study explores the use of Generative AI to assist in documenting and structuring FHIR-based data transformation workflows, focusing on TNM ... read more 

A Two-Stage Pipeline for Linking Clinical Notes to SNOMED CT.

Studies in health technology and informatics May 21, 2026
Extracting clinically useful information from free-text notes remains challenging due to their unstructured nature, while medical coding is still only partially automated. We present a two-stage pipeline for linking spans in clinical notes to Systema... read more 

Evaluating Open and Accessible Visual Language Models for Optical Character Recognition in Clinical Case Report Forms.

Studies in health technology and informatics May 21, 2026
Paper-based case report forms remain common in clinical trials, often requiring manual transcription into electronic systems. Automating this process could reduce workload and errors, but standard approaches for text or mark recognition are limited b... read more 

Generative AI in Dutch General Practice: A Pilot Study of Current Use and Future Perspectives.

Studies in health technology and informatics May 21, 2026
Dutch general practice is under increasing pressure from workforce shortages and administrative workload. Generative artificial intelligence (GenAI) is being promoted as a potential way to support documentation, communication, and clinical reasoning,... read more 

Generative AI in Healthcare Solutions: A Review of Opportunities and Challenges.

Studies in health technology and informatics May 21, 2026
The integration of Generative Artificial Intelligence (GenAI) into eHealth represents a transformative shift in the design, development, and deployment of digital health solutions. GenAI is reshaping healthcare by enabling personalized care, automati... read more 

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 
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