Artificial Intelligence Medical Compendium

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

Showing 14,281 to 14,290 of 211,815 articles

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

Studies in health technology and informatics
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
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
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
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
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
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
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
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 

Federated Deception Intelligence and the ASKOS Solution for Cyber-Resilient Healthcare Infrastructures.

Studies in health technology and informatics
Healthcare infrastructures face escalating cybersecurity risks caused by legacy systems, connected IoMT devices, and complex data-sharing environments. Conventional intrusion detection and SIEM systems provide limited protection against zero-day and ... read more 

Time to Care-AI Supported Nursing Documentation.

Studies in health technology and informatics
This study conducted a needs assessment to evaluate contextual factors, adoption barriers, and overall readiness of municipal healthcare services to implement and utilize AI-supported documentation solutions. The study was carried out by a multidisci... read more