Latest AI and machine learning research in health policy for healthcare professionals.
Due to the distinctive distributed privacy-preserving architecture, split learning has found widespr...
BACKGROUND: Dosimetric commissioning and quality assurance (QA) for linear accelerators (LINACs) pre...
Natural gas (NG) is a promising alternative to diesel for sustainable transport, potentially reducin...
Ultrasound imaging is widely valued for its safety, non-invasiveness, and real-time capabilities but...
In digital image diagnosis using medical displays, it is crucial to rigorously manage display device...
BACKGROUND: With increasing adoption of remote clinical trials in digital mental health, identifying...
BACKGROUND: Conventional hip joint MRI scans necessitate lengthy scan durations, posing challenges f...
Advancements in reproductive technology are now approaching an unprecedented frontier: the pregnancy...
Transformative change is needed across the food system to improve health and environmental outcomes....
BACKGROUND: Identifying non-accidental trauma (NAT) in pediatric trauma patients is challenging. We ...
Depression poses significant challenges to global healthcare systems and impacts the quality of life...
OBJECTIVES: To evaluate the image quality and lung nodule detectability of ultralow-dose CT (ULDCT) ...
The emergence of artificial intelligence (AI) in drug discovery represents a transformative developm...
In this comprehensive analysis of Chile's air quality dynamics spanning 2016 to 2021, the utilizatio...
BACKGROUND: The aging population is increasingly affected by periodontal disease, a condition often ...
AIMS: Thyroid eye disease (TED) is an autoimmune orbital disorder that diminishes the quality of lif...
BACKGROUND: Mental disorders are increasingly prevalent, leading to increased medical expenditures. ...
Introduction Generative artificial intelligence (AI) chatbots, like ChatGPT, have become more compet...
PURPOSE: Enhancing the speed and efficiency of clinical trial recruitment is a key objective across ...
OBJECTIVE: The LungFlag risk prediction model uses individualized clinical variables to identify ind...
This article presents a comparative analysis of the circularity and cost-efficiency of two distinct ...