December 16, 2024
Image credit: PLOS Digital Health
01/07/2025
Research Article
This study aims to understand the nature and recovery trajectories of post-concussion symptomatology by applying an unsupervised machine learning approach to data captured from a digital health intervention (HeadOn). As part of the 35-day program, patients complete a daily symptom diary which rates 8 post-concussion symptoms.
Image credit: Jamjoon et al
Current Issue January 2025
01/09/2025
Research Article
Traditional Medical Data Management Systems (MedDMSs) are not designed for implementation of precision medicine. The authors defined, built and applied a MedDMS for precision medicine considering key factors such as GDPR compliance.
Image credit: Jacobs et al
12/23/2024
Research Article
This study evaluated the use of ePOCT+, a digital health clinical decision support algorithm for health providers, combined with point-of-care diagnostic tools, training, and mentorship. The study compared 9 primary care health facilities using ePOCT+ with 9 facilities providing care as usual.
Image credit: Rowan Smith
12/19/2024
Research Article
This study investigates the potential of using a voice-based algorithm to predict Type-2 Diabetes status in adults, as the first step towards developing a non-invasive and scalable screening method.
Image credit: Fagherazzi et al
12/18/2024
Research Article
Hypothermic machine perfusion (HMP) effectively reduces the risk of delayed graft function in kidney transplant recipients. This study developed a free software, EXAM, to analyze HMP data for state-of-the-art visualization and quality control.
Image credit: Robina Weermeijer
12/17/2024
Research Article
The Scottish Patients at Risk of Re-Admission and Admission score predicts individual risk of emergency hospital admission for approximately 80% of the Scottish population. This study assess the SPARRA score across population subgroups.
Image credit: Andrew Dawes
12/06/2024
Research Article
This study introduces Clinical Prediction with Large Language Models (CPLLM), a novel method that fine-tunes a pre-trained Large Language Model (LLM) to enhance predictions of clinical diseases and patient readmissions.
Image credit: David Becker
12/06/2024
Research Article
This review aims to understand the barriers and facilitators to the use of telehealth by healthcare providers.
Image credit: Sharma Et al
12/02/2024
Research Article
The carotid artery diameter waveform is highly relevant for cardiovascular diagnostics and typically acquired using ultrasound imaging.
Image credit: Elen Sher
11/25/2024
Research Article
This study tested an electronic consent system in a pediatric research setting.
Image credit: Danhauser et al
By Rayane Elimam and colleagues
By Thirimon Moe-Byrne and colleagues
By Haowen Zhou and colleagues
By Guy Fagherazzi and colleagues
By Brett M. Meyer and colleagues
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