Latest AI and machine learning research in health policy for healthcare professionals.
People living with cancer, and their caregivers and families, have access to many sources of health ...
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into education and healthcare, r...
Artificial intelligence (AI) has emerged as a promising tool to detect early dysplasia in Barrett's ...
BACKGROUND: Evidence-based decision-making in healthcare relies heavily on routine health informatio...
OBJECTIVES: To develop and evaluate a machine learning (ML) model that predicts Crohn's disease (CD)...
Maternal undernutrition and micronutrient deficiencies remain pervasive, contributing to adverse pre...
Estimating the level of earthquake-induced liquefaction settlements in shallow foundations is essent...
Presence of intravenous contrast on computed tomography (CT) scans is often unreliably documented, e...
AIM: To compare healthcare utilization and spending among women enrolled in an employer-sponsored, a...
Despite notable progress in understanding the pediatric dental caries area, its multifactorial etiol...
Timely access to reliable public health data is a critical determinant of effective response to heal...
OBJECTIVES: Evaluate the technical integration and usability of an intraoperative predictive machine...
OBJECTIVES: Lung cancer is the leading cause of cancer-related mortality worldwide, with poor progno...
Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, with approxim...
BACKGROUND: T2-weighted imaging (T2WI) of the liver suffers from prolonged scan times and respirator...
Artificial intelligence (AI) is rapidly reshaping the landscape of health care, from clinical diagno...
In every breathless conversation about artificial intelligence (AI), this technology has been herald...
OBJECTIVES: Artificial intelligence (AI) applications in radiology may improve clinical outcomes, bu...
PURPOSE: Ensemble machine learning (ML) demonstrated potential for improving predictions based on bi...
Digital dermatology, which is defined as the use of digital technologies that leverage individual- a...
BACKGROUND: Machine learning models are increasingly used to predict patients at risk of high health...