Evidence regarding the association between physical activity and Parkinson’s disease (PD) risk is generally limited due to the use of self-report questionnaires. We aimed to quantify the separate and combined effects of accelerometer-measured light…
Continue Reading
It is uncommon for risk groups defined by statistical or artificial intelligence (AI) models to be chosen by jointly considering model performance and potential interventions available. We develop a framework to rapidly guide choice…
Continue Reading
By Anuja Vaidya
November 28, 2023 – Patients receiving at-home hospital care under the Acute Hospital Care at Home waiver experienced a low mortality rate and minimal complications resulting in admission to brick-and-mortar hospitals, according to…
Continue Reading
By Shania Kennedy
November 28, 2023 – Researchers from the UCLA Health Jonsson Comprehensive Cancer Center have created an artificial intelligence (AI) model that can successfully predict cancer survival outcomes by analyzing epigenetic factors, according to…
Continue Reading
OpenAI’s GPT-4 correctly diagnosed 52.7% of complex challenge cases, compared to 36% of medical journal readers, and outperformed 99.98% of simulated human readers, according to a study published by the New England Journal of Medicine.The…
Continue Reading
By Hannah Nelson
November 27, 2023 – Primary care physicians (PCPs) practicing in community health centers spend less time using the EHR than other PCPs, according to a study published in JAMA Network Open.
The cross-sectional…
Randomized clinical trials (RCT) represent the cornerstone of evidence-based medicine but are resource-intensive. We propose and evaluate a machine learning (ML) strategy of adaptive predictive enrichment through computational trial phenomaps to optimize RCT enrollment….
Continue Reading
Background: Many smartphone apps designed to assist individuals in managing their weight are accessible, but the assessment of app quality and features has predominantly taken place in Western countries. Nevertheless, there is a scarcity…
Continue Reading
Utilizing machine learning (ML) alongside mass spectrometry, UF Health researchers enhanced meningioma tumor assessment accuracy to 87%. Published in the Journal of the American Society for Mass Spectrometry, this study showcased ML’s prowess in…
Continue Reading
In telehealth, diagnosing flu through patient-reported symptoms complicates accurate assessments. University of Georgia’s study explored clinical decision rules (CDRs) reliability in telemedicine, revealing discrepancies in patient and clinician symptom reports. The research, published in…
Continue Reading
