Artificial Intelligence Medical Compendium

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

Showing 15,241 to 15,250 of 212,780 articles

Ontology-Aligned Representation of Adverse Events in a Multiple Myeloma Clinical Trial.

Studies in health technology and informatics May 21, 2026
To explore the potential of ontologies in improving adverse event identification, we developed ontology-aligned representations of adverse events extracted from electronic health records (EHRs) of fifty patients participating in a multiple myeloma tr... read more 

Practical Implications for Using Laboratory Data: Research over Federated Networks.

Studies in health technology and informatics May 21, 2026
INTRODUCTION: Semantic standardization is essential, but not sufficient, to enable research over real-world data networks. Even when harmonized, differences in data availability, granularity, and clinical practice can introduce subtle biases that aff... read more 

Timely, AQL-Driven Clinical Cohort Identification in openEHR Infrastructures.

Studies in health technology and informatics May 21, 2026
Timely cohort identification remains a challenge in hospitals due to fragmented systems, delayed coding, and limited IT capacity. We present CohortMailer, a lightweight tool that automates extraction of patient cohorts from openEHR repositories using... read more 

Implementing a Governance Framework for Federated Learning.

Studies in health technology and informatics May 21, 2026
Although federated learning is becoming the dominant paradigm in multi-institutional AI research for healthcare, its application in the highly secure hospital domain remains limited. We evaluated the proposed governance framework for federated learni... read more 

Cross-Institutional Data Harmonization for AI in Nursing Care Using the OMOP CDM.

Studies in health technology and informatics May 21, 2026
Artificial Intelligence (AI) offers potential to support and empower nurses, yet its development depends on the availability of high-quality, standardized data. Nursing data are often fragmented, unstructured, and semantically inconsistent, hindering... read more 

Assisting Traceable Coding of Unstructured Text for Secondary Use.

Studies in health technology and informatics May 21, 2026
This work's objective is to support secondary use of unstructured clinical text data in research. We introduce a REDCap-integrated tool that enables semantic annotation of unstructured clinical text with terminologies such as SNOMED CT and ICD, enhan... read more 

Integrating Multi-Source Biomedical Data for Adverse Drug Reaction Analysis: A Knowledge Graph Approach.

Studies in health technology and informatics May 21, 2026
Understanding adverse drug reaction mechanisms requires integrating information from multiple heterogeneous sources. We developed a pipeline for combining drug-target data (DrugBank), biochemical pathways (Reactome), and adverse drug reactions identi... read more 

The SURROGATOR Framework for Context-Aware Surrogation of Privacy Sensitive Information in Medical Text.

Studies in health technology and informatics May 21, 2026
Clinical text cannot be shared freely due to data protection regulations. This paper introduces SURROGATOR, an open-source framework that replaces personal identifiable information with fictitious, high-fidelity synthetic surrogates to maintain text ... read more 

Recovering Sensitive Medical Text in Federated Learning.

Studies in health technology and informatics May 21, 2026
Federated Learning (FL) allows institutions to train shared models without exchanging raw data, making it a promising approach for healthcare applications that involve sensitive electronic health records (EHRs). However, despite this distributed desi... read more 

The Somnolink-Hub: A Central Infrastructure That Unites Sleep Data at Point of Care.

Studies in health technology and informatics May 21, 2026
Obstructive sleep apnea (OSA) is a sleeping disorder which can lead to severe health consequences. Information gaps in the patient's diagnostic path may result in duplicate examinations, while patients wait long for sleep diagnostics. We propose an a... read more 
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