Latest AI and machine learning research in health policy for healthcare professionals.
Accurate air pollution monitoring is critical to understand and mitigate the impacts of air pollutio...
To accelerate the clinical adoption of quantitative magnetic resonance imaging (qMRI), frameworks ar...
PURPOSE: Commonly used MR image quality (IQ) metrics have poor concordance with radiologist-perceive...
Complete and high-quality photodocumentation in esophagoduodenogastroscopy (EGD) is essential for ac...
OBJECTIVES: Deep learning reconstruction of magnetic resonance imaging (MRI) allows to either improv...
OBJECTIVE: To develop models for prediction of the onset of specific diseases in cats using pet insu...
Key challenges in upper limb prosthetics include a lack of effective control systems, the often inva...
Deep reinforcement learning has achieved significant success in complex decision-making tasks. Howev...
In the context of the technological revolution and the digital intelligence era, the contradiction b...
Computer vision based on instance segmentation deep learning models offers great potential for autom...
OBJECTIVE: To examine the quality of information provided by artificial intelligence platforms ChatG...
OBJECTIVE: To assess the ability of AI chatbots to deliver quality and understandable information on...
Floods can severely impact the economy, environment and society. These impacts can be direct and ind...
In this study, an optimized comprehensive water quality index (WQI) model framework is developed, wh...
OBJECTIVES: To exploit the capability of super-resolution deep learning reconstruction (SR-DLR) to s...
The swift progression of AI within the realm of medical devices has precipitated an imperative for s...
Obstetric ultrasound (OBUS) is recommended as part of antenatal care for pregnant individuals worldw...
Continuous monitoring of patients' health facilitated by artificial intelligence (AI) has enhanced t...
The soil quality of forest land is directly related to the growth of forest trees and the local ecol...
BACKGROUND: Digital mental health interventions, such as artificial intelligence (AI) conversational...
BACKGROUND: Deep learning image reconstruction (DLIR) algorithms allow strong noise reduction while ...