Artificial Intelligence Medical Compendium

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

Showing 15,071 to 15,080 of 212,565 articles

Bridging Routine Data and Clinical Research: A Structured Approach to Data Preprocessing.

Studies in health technology and informatics
The secondary use of routine clinical data remains challenging due to heterogeneity and irregularity. We present a structured three-step preprocessing framework to transform routine healthcare data into research-compatible datasets. The approach comp... read more 

Enabling Privacy-Preserving Federated Learning in Healthcare: The FLAME Architecture and Policy Framework.

Studies in health technology and informatics
Federated Learning enables collaborative AI development in healthcare without sharing patient data, addressing privacy and regulatory constraints like GDPR and HIPAA. We present FLAME, an open-source platform developed within the German PrivateAIM pr... read more 

Exploring Documentation Burden and the Use of Artificial Intelligence Among Swiss Rehabilitation Professionals.

Studies in health technology and informatics
This cross-sectional online survey presents preliminary results examining Swiss occupational and physical therapists' (OTs/PTs) documentation burden and attitudes toward artificial intelligence (AI) support. Among 292 respondents (219 PTs, 73 OTs; me... read more 

HeXEHRS: Design and Implementation of a FHIR-Based Cloud EHR and Client for Depopulated Regions with AI and Digital-Twin Integration.

Studies in health technology and informatics
Japan's national initiative for scientific infrastructure emphasizes equitable healthcare delivery in depopulated regions facing rapid aging and physician shortages. To address these challenges, we developed HeXEHRS, a cloud-based electronic health r... read more 

Kernel Density Estimation of Wearable Signals to Predict Preoperative Cancellation Risk.

Studies in health technology and informatics
Digital health approaches that leverage consumer wearables and machine learning offer scalable means to detect acute illness pre-symptomatically, enabling earlier intervention and improved resource planning. Prior studies have shown that wearable-der... read more 

Identification of Reliable Biomarkers for ALS Through Machine Learning Approach.

Studies in health technology and informatics
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by progressive motor neuron degeneration and limited diagnostic biomarkers. Identifying robust molecular biomarkers for ALS remains a major challenge due to disea... read more 

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

Studies in health technology and informatics
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
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
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
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