Latest AI and machine learning research in health policy for healthcare professionals.
OBJECTIVE: Prediction models for mortality rarely incorporate diverse psychiatric conditions, alongs...
Adolescent suicide remains a critical public health issue in the United States, with complex, interr...
Black rhinoceros are critically endangered due to poaching in the wild (in situ). Globally, fewer th...
Integrating artificial intelligence (AI) into maternal and neonatal health (MNH) offers significant ...
Prostate magnetic resonance imaging (MRI) has become a crucial tool in diagnosing and managing prost...
Description of treatment and prescription patterns among asthma patients in the regions of Magdeburg...
BACKGROUND: Artificial intelligence (AI) is transforming medical imaging, yet its economic impact in...
Navigating electronic health records (EHRs) remains a time-consuming task for clinicians, especially...
This article explores the transformative potential of artificial intelligence (AI) and machine learn...
BACKGROUND: Mental health providers (MHPs) face a significant administrative burden from documentati...
PURPOSE: To improve the quality of a fast multi-contrast MR protocol acquisition using deep learning...
BACKGROUND: Genomic assays such as Oncotype DX have transformed adjuvant treatment selection for hor...
This systematic review examines food waste management in Malaysian private healthcare, investigating...
Hybrid seed technology future depends on integrating advanced genomics, AI-driven breeding, and enab...
BACKGROUND: Asthma-related deaths in the United Kingdom are the highest in Europe, and only 30% of p...
MRI technology has continuously advanced since its inception in the 1980s, yet access to MRI remains...
Eritrean women face a difficult tension between the cultural context in which they experienced femal...
INTRODUCTION: The Plan A blocks framework was proposed in 2019 with the aim of promoting a small num...
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent and...
Wireless Sensor Networks (WSN) are widely used across various fields. WSN is composed of many low-co...
To develop and validate predictive models for osteoradionecrosis (ORN) after head and neck radiation...