Latest AI and machine learning research in surveys for healthcare professionals.
PURPOSE OF REVIEW: This review synthesizes recent progress in applications of artificial intelligence to heart failure care, including phenotyping, risk stratification, imaging interpretation, and point-of-care decision support, and delineates barriers that currently limit safe and equitable clinical translation. RECENT FINDINGS: Clinical datasets remain heterogeneous and incomplete; fragmentation...
Molecular docking plays a crucial role in structure-based drug design. Although diffusion-based docking models have achieved remarkable success in this field, their practical application in real-world drug discovery remains limited by challenges in computational efficiency and physical validity. To address these issues, we propose EC-Dock, a fast diffusion-based docking model built upon an equivar...
Artificial intelligence (AI) is rapidly reshaping genomic medicine, yet its benefits remain unevenly distributed due to the profound under-representat...
As artificial intelligence (AI) models become increasingly integrated into facial aesthetic surgery for attractiveness prediction and surgical outcome...
Congenital muscular torticollis (CMT) is a common musculoskeletal problem associated with unilateral sternocleidomastoid muscle stiffness. We evaluate...
Dedicated training for [Formula: see text] laparoscopic camera navigation remains limited by the cost of high-fidelity simulators and the absence of c...
BACKGROUND: Clinical research is essential for advancing pediatric care, yet pediatricians often face unique structural, organizational, and methodolo...
OBJECTIVE: Large language models (LLMs) are increasingly used as clinical information tools; however, their ability to accurately interpret evidence-b...
BACKGROUND: Older survivors of cancer face heightened risk of depression and anxiety related to cancer experiences, fear of recurrence, and aging-rela...
BACKGROUND: University students experience elevated psychological distress, with limited access to mental health services. While cognitive behavioral ...
BACKGROUND: Clinical practice guidelines play a pivotal role in the management of complex and chronic conditions such as osteoarthritis (OA). However,...
BACKGROUND: Some researchers have explored the application of radiomics-based machine learning to detect preoperative muscle invasion, high-grade tumo...
OBJECTIVE: Though subgroup performance reporting helps ensure the safety of artificial intelligence (AI) products, the extent of this reporting remain...
BACKGROUND: The use of Clinical Decision Support Systems (CDSS), such as clinical decision rules, algorithms, or machine learning-based applications, ...
BACKGROUND: Multiple mini interviews (MMIs) are widely used in medical school admissions to assess applicants' nonacademic attributes in a structured ...
BACKGROUND: The use of large language models (LLMs)-powered chatbots has reshaped how people seek information and advice, including for emotional and ...
BACKGROUND: Digital literacy has become a core competence for nursing faculty to adapt to the digital transformation of education, improve teaching qu...
OBJECTIVES: Driving under the influence of cannabis is a growing public health concern in the United States. Existing surveillance systems often lack ...
BACKGROUND: Large language models (LLMs) are increasingly used by patients for health information and preliminary medical advice. In patient-facing co...
Nurses, frontline providers, must ethically adopt AI in care, but no validated tool exists to assess their ethical acceptance. This study aims to deve...