Artificial Intelligence Medical Compendium

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

Showing 12,981 to 12,990 of 210,785 articles

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 

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 
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