Artificial Intelligence Medical Compendium

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

Showing 13,021 to 13,030 of 210,785 articles

OMOP Extraction of Medical Text Using LLMs: Preliminary Results.

Studies in health technology and informatics
We used medium-sized LLMs to extract medication data from German discharge letters into the OMOP CDM, achieving >85% accuracy and >75% F1-score, demonstrating the feasibility of OMOP extraction with medium-sized models. read more 

A Federated Benchmark for Clinical Natural Language Processing (FedDRAGON).

Studies in health technology and informatics
We introduce the FedDRAGON challenge, a federated learning benchmark for clinical natural language processing. The challenge includes 12 information extraction tasks where data is extracted from clinical reports from 4 Dutch care centers. Baseline re... read more 

Co-Designing AI-Supported Clinical Documentation for Rehabilitation.

Studies in health technology and informatics
Clinical documentation is vital for continuity of care but increasingly burdensome due to administrative demands. This study applies a co-design approach grounded in human-centered AI principles to inform AI-supported documentation system for rehabil... read more 

Language Models for Automatic Clinical Coding in Veterinary Texts: Experimental Results.

Studies in health technology and informatics
We evaluated six medium-sized generative models (Autoregressive Transformers and a Diffusion Language Model) on automated veterinary ICD-11 coding. Gemma 3n consistently outperformed the others, demonstrating the highest reliability across all metric... read more 

Automated Information Extraction Pipeline for Constructing ED Knowledge Graphs from Korean Clinical Problem Lists.

Studies in health technology and informatics
Emergency department problem lists remain unstructured despite documenting major medical problems. We developed an information extraction pipeline for constructing ED knowledge graphs, comparing three normalization strategies and five LLMs on 250 ann... read more 

Towards Clinical NLP in a Low-Resource Language: Structuring Estonian Clinical Text.

Studies in health technology and informatics
Healthcare sectors generate large volumes of unstructured text, yet mature clinical NLP is lacking for low-resource languages. This project targets Estonian, a morphologically rich, low-resource language, and outlines an end-to-end pipeline that conv... read more 

Narrative Review of LLMs Benchmarks for French Medical Question Answering.

Studies in health technology and informatics
Generative LLMS have become ubiquitous across various fields, including healthcare and medicine. Consequently, there is growing interest in leveraging LLMs for medical applications, leading to the daily emergence of novel models. To identify gaps in ... read more 

Voice Diaries as Digital Biomarkers: A Scoping Review.

Studies in health technology and informatics
Our goal in this review is to map how voice diaries are used as digital biomarkers, summarize computational pipelines, and identify methodological gaps. Seven databases were searched using the Population-Concept-Context framework. 10/41 records met i... read more 

GFO-Light: A Simplified Top-Level Ontology - Introduction and Biomedical Case Studies.

Studies in health technology and informatics
We present a novel lightweight top-level ontology (TLO) 'GFO-light', which has been designed for ease of use by non-ontologists. While most TLOs come with rich, complex axiomatizations and terminologies that include a lot of philosophical jargon, lig... read more 

Standardized Information Model for Clinical Texts: The MII Core Data Set Module Document.

Studies in health technology and informatics
The objective is to create a standardized, harmonized information model for clinical documents based on the HL7 FHIR specification. The connection between unstructured data and its metadata facilitates internal organization and external access for sc... read more