Artificial Intelligence Medical Compendium

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

Showing 14,301 to 14,310 of 211,815 articles

Predicting Lung Function from Voice Recordings Using Machine Learning: An Optimised Approach.

Studies in health technology and informatics May 21, 2026
Spirometry is a crucial diagnostic test for pulmonary diseases, where measures including Forced Expiratory Volume in one second (FEV1) have diagnostic and prognostic value. Symptomatic sounds with digital signal processing methods and machine learnin... read more 

MAP-CARE: Enhancing Cross-Lingual Medical Intervention Terms.

Studies in health technology and informatics May 21, 2026
Traditional keyword-based or single-language systems are not able to align data from surgical and interventional procedures, especially from non-English healthcare systems. This study aims to develop a pipeline for cross-lingual retrieval and integra... read more 

Childbirth Mobilities: A Geo-Spatial Simulation Approach.

Studies in health technology and informatics May 21, 2026
While the literature has identified some predictors to childbirth hospital selection such as distance to facilities, ranking of hospitals and word-of-mouth, there is a lack of knowledge on how they interact. This contribution aims at filling this gap... read more 

Factors Associated with the Acceptance of Communication Robots Among Formal Caregivers in Home-Based Care.

Studies in health technology and informatics May 21, 2026
We investigated factors associated with the acceptance of communication robots among formal caregivers in home care. A cross-sectional survey conducted in 2024 included 146 caregivers selected through the Healthcare Market Analysis Platform. Logistic... read more 

A Maturity Model for REDCap-Based Patient-Facing Technologies: A Roadmap Toward Patient-Centered Intelligence.

Studies in health technology and informatics May 21, 2026
With the increasing adoption of patient-facing technologies (PFTs) that support direct interaction and real-time health data capture, the Research Electronic Data Capture (REDCap) ecosystem has emerged as a sustainable web-based alternative to mobile... read more 

A Tool for Virtual Nursing Utilization in Emergency Reception: An Exploratory Machine Learning Approach.

Studies in health technology and informatics May 21, 2026
As virtual nursing (VN) gains traction as a scalable solution to support hospital workflows, identifying patients best suited for VN admission assessments becomes increasingly important. This study developed an exploratory predictive scoresheet using... read more 

AI-Based Dialogue Systems for Informed Consent in Radiology: Professional Perspectives from the KIPA Study.

Studies in health technology and informatics May 21, 2026
Informed consent in radiology is often constrained by limited time and patient preparation. The KIPA project combines digital consent forms with an AI-based dialogue system that allows patients to review information and ask questions before imaging p... read more 

Identification of Potential Biomarkers in ASD Integrating RNA Seq Data and Machine Learning Approaches.

Studies in health technology and informatics May 21, 2026
Autism spectrum disorder (ASD) is a neurodevelopmental disorder, caused by various epigenetic and genetic factors. This has resulted in an unclear understanding of etiology and biomarkers associated with ASD. In this study, we used RNA Seq datasets i... read more 

Identification of Ecological and Human Health Indicators Based on Geographic and Spatial Mapping.

Studies in health technology and informatics May 21, 2026
Addressing public health and environmental challenges in rapidly urbanizing areas requires identifying and analyzing relevant indicators. This study introduces an AI-powered framework for extracting and analyzing health and ecological indicators from... read more 

A Human-Centered, Multi-Stage Clinical Decision Pathway for an AI-Based CDSS for Delirium Prevention.

Studies in health technology and informatics May 21, 2026
Delirium is common, consequential, and in many cases preventable in acute care. Building on participatory work with healthcare professionals (HCP), we present a clinical decision pathway (CDP) for an AI-based clinical decision support system (CDSS) t... read more 
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