Latest AI and machine learning research in surveys for healthcare professionals.
Large language models frequently fail in a characteristic way: rather than acknowledging ignorance, ...
Diagnosing 802.11 packet captures requires expert protocol knowledge, is slow, inconsistent across e...
Background. Fairness-aware machine learning increasingly targets demographic performance disparities...
The increasing penetrations of the critical infrastructure sector in the United States with intellig...
Abstract Background: Artificial Intelligence (AI) is increasingly integrated into healthcare systems...
As large language models (LLMs) enter clinical workflows, automation bias, the uncritical acceptance...
Background: Accurate evaluation of fine motor abilities is a key aspect of neurological rehabilitati...
Background: Hospital incident risk scoring has long relied on two- or three-dimensional frameworks (...
Machine learning (ML)- and artificial intelligence (AI)-based aging clocks are increasingly used to ...
Introduction: The use of artificial intelligence (AI) by clinicians has increased rapidly in recent ...
Neuroimaging based pain decoding faces two underappreciated challenges: between subject variability ...
Machine learning frequently encounters challenges when applied to population-stratified datasets, wh...
Background: Patients with CKD and polypharmacy face high rates of drug-related problems, yet compreh...
Fixed larval specimens often shrink and curve, making length measurement labor-intensive. Although r...
Semi-supervised learning has become a dominant paradigm for reducing annotation costs. However, we a...
Posttraumatic stress disorder (PTSD) is a prevalent and debilitating mental health condition with si...
Introduction: Large-scale free-text data with socio-demographic information can capture nuanced acco...
In view of the outstanding progress of machine learning (ML) and growing cost of health systems, it ...
Skin-tone labels are absent from public dermoscopy benchmarks such as the International Skin Imaging...
Objectives To evaluate whether class-conditional conformal prediction (CP) can provide reliable unce...
Cardiac rehabilitation is critical for secondary prevention, yet long-term adherence remains low. We...