Artificial Intelligence Medical Compendium

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

Showing 13,011 to 13,020 of 210,785 articles

Extracting Clinical Recommendations from Oncology Guidelines: An Exploratory Comparison of Automated Approaches.

Studies in health technology and informatics May 21, 2026
Recommendations from clinical practice guidelines are crucial for increasing patient care. We compare LLM/VLM-based extraction approaches against a rule set baseline. The results show that most recommendations can be extracted, but potential risk for... read more 

Assessing Clinical Decision-Making Aided by a RAG-Based Dialog in Pre-Examination on Non-Odontogenic Tooth Pain.

Studies in health technology and informatics May 21, 2026
Differentiating Non-Odontogenic Tooth Pain, a potential symptom of life-threatening conditions like Ischemic Heart Disease, is a critical challenge for dentists, as existing AI tools fail to support their decision-making. To address this, we develope... read more 

Ontology-Enriched Guidelines Retrieval for Complex Rheumatological Cases.

Studies in health technology and informatics May 21, 2026
Large language models (LLMs) integrated with Retrieval-Augmented Generation (RAG) can enhance clinical decision support and triage. However, semantic retrieval often fails to capture the structured relationships of medical knowledge, especially in co... read more 

Transforming Annotated Clinical Narratives into Pruned Interoperable Knowledge Graphs with SNOMED CT.

Studies in health technology and informatics May 21, 2026
INTRODUCTION: Clinical narratives are difficult to process due to unstructured text, abbreviations, and jargon, which limit semantic interoperability. Converting them into knowledge graphs (KGs) and pruning SNOMED CT enables focused, interoperable re... read more 

A Study of Classification Methods for Structural Changes in Japanese Medical Institutions Using Generative AI.

Studies in health technology and informatics May 21, 2026
This study examines the use of generative AI to classify structural changes in Japanese medical institutions, where institution code changes hinder longitudinal analysis. Using Ministry of Health data (2020-2024), cases of code change were assessed. ... read more 

Integrating Large Language Models into Thematic Analysis Workflows for Healthcare Research.

Studies in health technology and informatics May 21, 2026
Large language models (LLMs) can accelerate the early stages of thematic analysis while preserving rigor. We piloted a lightweight, open-source LLM pipeline on a single semi-structured interview from a mixed-methods case study of Québec's electronic ... read more 

Uncovering Topics in Dutch Patient Messages in Inflammatory Bowel Disease: A Comparative Study of Embedding Models for Neural Topic Modeling.

Studies in health technology and informatics May 21, 2026
This study applied natural language processing to identify common topics in 12,054 Dutch patient-provider messages in inflammatory bowel disease. Using the BERTopic framework, three embedding models were evaluated with topic diversity, Cv coherence, ... read more 

Combining Anti-Hallucination Strategies for Reliable LLM-Based Clinical Information Extraction.

Studies in health technology and informatics May 21, 2026
We present a novel LLM-based approach for medical concept extraction that combines multiple anti-hallucination strategies. Our Streamlit web application enables flexible pipeline configuration through ensemble methods, Chain-of-Verification, contextu... read more 

MINE: An Interactive Platform for Expert-Guided Medical Information Extraction.

Studies in health technology and informatics May 21, 2026
Clinical reports contain valuable patient information but are difficult to use due to their unstructured format and privacy constraints. We present MINE, a secure and interactive platform that enables experts to collaboratively develop, evaluate, and... read more 

From Unstructured to Structured Nursing Documentation for Myocardial Infarction Patients Using Clinical Practice Guidelines and SNOMED CT.

Studies in health technology and informatics May 21, 2026
This study aims to analyze unstructured nursing documentation of myocardial infarction patients using clinical practice guidelines and SNOMED CT. A total of 72,234 records from 491 patients were annotated using 17 domains derived from the CCCN and AH... read more 
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