Latest AI and machine learning research in product alert for healthcare professionals.
BACKGROUND: Falls are among the most common adverse events in hospitalized patients, with about 30% ...
OBJECTIVE: Interpretable brain-computer interface classifiers that generalize across subjects withou...
BACKGROUND: Stigmatizing language (SL) in electronic health records (EHRs) can influence clinical de...
BACKGROUND: Generative AI lowers the technical barrier to clinician-led software development, but fu...
Accurate symptom-to-disease classification and clinically-grounded treatment recommendations remain ...
Surgical resection, and its associated bowel preparation, remain the primary treatment for colorecta...
Artificial intelligence (AI) is increasingly being explored to support pharmacovigilance activities ...
BACKGROUND: Cardiovascular events are a leading cause of mortality after liver transplantation (LT),...
PURPOSE: To develop and validate a pediatric diffuse midline glioma (DMG) auto-segmentation tool opt...
Coronary angiography is routinely acquired during invasive assessment of coronary artery disease, bu...
This study predicts social media post popularity by examining the associations between multimodal, u...
Law enforcement tactical training places sustained cognitive and emotional demands on recruits, maki...
Inadequate post-care patient education contributes to preventable readmissions and adverse outcomes ...
INTRODUCTION: A cross-sectional comparative device study to compare the Eyerobo Vision Screener (VS)...
Frailty predicts adverse outcomes in kidney transplant candidates, but it remains unclear whether di...
Objective: The objective of OptiBraille is to develop a low-cost, standalone assistive Braille chara...
BACKGROUND: Post-operative delirium is a serious neurocognitive complication of cardiac surgery. The...
BACKGROUND: Ovarian cancer remains the deadliest gynecological malignancy, with neoadjuvant chemothe...
PURPOSE: The contour neurovascular system (CNS) is increasingly used for endovascular treatment of i...
OBJECTIVE: Medical Concept Normalization (MCN) maps informal health phrases to formal clinical conce...
BACKGROUND: Machine learning (ML) models are increasingly used to predict acute kidney injury (AKI),...