Latest AI and machine learning research in risk management for healthcare professionals.
BACKGROUND: Atrial fibrillation (AF) is a common and clinically heterogeneous arrhythmia. Machine le...
BACKGROUND: Reduced field-of-view (rFOV) T2WI improves in-plane spatial resolution. Deep learning-ba...
BackgroundSubjective cognitive decline (SCD) represents the first early symptomatic stage of Alzheim...
BACKGROUND: Clinical use of cardiovascular magnetic resonance (CMR), reference tool for cardiac func...
Artificial intelligence (AI) is entering routine radiology practice, but most studies evaluate algor...
PURPOSE: To evaluate the image quality and clinical utility of DLR-enhanced single-shot fast spin-ec...
Artificial intelligence (AI) is reshaping the paradigm of clinical surgical field at an unprecedente...
BACKGROUND: Alzheimer's disease (AD) and dementia pose a significant clinical and economic burden gl...
INTRODUCTION: Mental health problems constitute a significant global health challenge due to their r...
As artificial intelligence tools become increasingly integrated into emergency department workflows,...
INTRODUCTION: Obstetric ultrasound is fundamental in prenatal care for gestational age (GA) estimati...
OBJECTIVE: Microbial keratitis (MK) is one of the leading causes of blindness in low- and middle-inc...
Texture analysis is a foundational approach in imaging studies and demonstrates excellent diagnostic...
INTRODUCTION: Artificial intelligence (AI) is increasingly embedded in healthcare, with expanding ap...
OBJECTIVES: Proper bowel preparation is crucial for increasing the adenoma detection rate. A novel a...
BACKGROUND: Artificial intelligence (AI)-powered analysis of electrocardiograms (ECGs) is reshaping ...
PURPOSE: This study aimed to investigate the feasibility of combining high-frequency reconstruction ...
BACKGROUND: Current diabetic foot ulcer risk assessment methods lack precision in identifying high-r...
Artificial intelligence (AI) is now routinely integrated into radiology workflows, including worklis...
Symptom checkers are apps and websites that assist medical laypeople in diagnosing their symptoms an...
OBJECTIVES: This systematic review evaluates the literature to determine the usefulness and rules of...