Latest AI and machine learning research in health policy for healthcare professionals.
BACKGROUND: The increasing use of artificial intelligence (AI) in healthcare, especially in deliveri...
AIMS: Science podcasts have proved to be valuable mediums for medical education and science dissemin...
OBJECT: This study examines how quality of life is associated with sleep quality among Chinese unive...
Flower opening time (FOT) is a key trait for successful reproduction and reproductive isolation. In ...
To compare the performance of sports injury prognostic machine learning models when trained on (i) b...
The perspective review discusses predictive stability computational modeling and scientific risk-bas...
Quantifying transport and transformation of pollutants in river systems regulated by reservoirs pose...
The current study aimed to evaluate the quality, usefulness, and reliability of three large language...
OBJECTIVE: The aim of this study was to establish a risk prediction model for sleep quality in patie...
As China's elderly population grows rapidly and the aging society arrives, the number of elderly pat...
Effluent of wastewater treatment plants (WWTPs) poses significant ecological risks due to potential ...
Cervical cancer remains a leading cause of cancer-related death among women globally, despite the av...
Availability of ultraportable chest x-ray (CXR) and advancements in artificial intelligence (AI)-ena...
Early identification and referral of inflammatory breast cancer (IBC) remains challenging within lar...
The quality of fresh water affects not only the aquatic environment and human health, but also the d...
Marked variability in inpatient hospitalization costs poses significant challenges to healthcare qua...
In this study, we address the inherent challenges in radiotherapy (RT) plan quality assessment (QA)....
Effective management of energy and water resources is essential for mitigating environmental impacts...
SIGNIFICANCE: Functional magnetic resonance imaging provides high spatial resolution but is limited ...
Technical debt prediction (TDP) is crucial for the long-term maintainability of software. In the lit...
ETHNOPHARMACOLOGICAL RELEVANCE: Angong Niuhuang Pills (AGNHP), a famous Chinese medicine compound pr...