Latest AI and machine learning research in health policy for healthcare professionals.
Due to the emergency environment pollution problems, it is imperative to understand the air quality ...
The study investigated the spatiotemporal relationship between surface hydrological variables and gr...
Robot-assisted partial nephrectomy (RAPN) has rapidly evolved as the standard of care for appropriat...
RATIONALE AND OBJECTIVE: To investigate the influence of the deep learning image reconstruction (DLI...
Stroke is a global health concern causing significant mortality. Survivors face physical, cognitive,...
PURPOSE: To characterise the impact of Precise Image (PI) deep learning reconstruction algorithm on ...
The use of artificial intelligence systems in clinical routine is still hampered by the necessity of...
The communication gap between patients and health care professionals has led to increased disputes a...
Cine cardiac magnetic resonance (CMR) imaging is considered the gold standard for cardiac function e...
At the dawn of of Artificial General Intelligence (AGI), the emergence of large language models such...
The influence of Medicaid or being uninsured is prevailingly thought to negatively impact a patient'...
PURPOSE: To the best of our knowledge, implementation of artificial intelligence (AI)-based vision s...
In light of the prevalent issues concerning the mechanical grading of fresh tea leaves, characterize...
Bias in health care has been well documented and results in disparate and worsened outcomes for at-r...
The patient concerns inventory (PCI) allows patients to highlight the issues they would like to disc...
INTRODUCTION AND OBJECTIVE: Generative artificial intelligence makes it possible to ask about medica...
Due to damage to the network of nerves that regulate the muscles and feeling in the shoulder, arm, a...
Dual-source drinking water distribution systems (DWDS) over single-source water supply systems are b...