Latest AI and machine learning research in surveys for healthcare professionals.
INTRODUCTION: Prospective prediction of mental health risk is critical for early intervention to red...
PURPOSE: A prior national survey of U.S. hematology/oncology (H/O) fellowship curricula demonstrated...
Dietary intake data are essential for understanding diet-disease relationships, informing policy, an...
BACKGROUND: Despite the increasing number of studies on prediction models for identifying the risk o...
Fat mass index (FMI) reflects adiposity normalized for height and may provide information beyond bod...
Depressive symptoms frequently co-occur with hearing impairment in older adults, yet available predi...
INTRODUCTION: Traumatic dental injuries (TDIs) require prompt and accurate guidance, yet little is k...
OBJECTIVES: Chat Generative Pretrained Transformer (ChatGPT) is a widely adopted tool that can provi...
This study examines how corpus-grounded artificial intelligence (AI) can strengthen Spanish reproduc...
OBJECTIVES: To evaluate the impact of automation and anchoring bias in artificial intelligence (AI)-...
Accurate measurement of range of motion (ROM) during physical rehabilitation is traditionally achiev...
Despite many success stories along the path of Artificial Intelligence's (AI) rise in healthcare, th...
BACKGROUND: Head and neck cancer (HNC) is a common malignant tumor, and its treatment often leads to...
Magnetic resonance imaging (MRI) is widely regarded as the most reliable non-invasive imaging modali...
BACKGROUND: This study aimed to assess the reliability of cephalometric measurements using CBCTs wit...
BACKGROUND: Although machine learning is often used in medical diagnosis, its effectiveness in cance...
BACKGROUND: AI-assisted health management is increasingly integrated into healthcare practices for o...
BACKGROUND: Artificial intelligence (AI), including applications such as radiographic image analysis...
BACKGROUND: This study aimed to systematically compare the predictive performance and methodological...
BACKGROUND: Low birth weight (LBW) remains a leading cause of neonatal mortality and long-term morbi...
AIM: To evaluate the impact of an artificial intelligence medical scribe (AIMS) on clinical document...