Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Artificial intelligence-powered conversational agents (ie, chatbots) are increasingly po...
AIMS: To evaluate the accuracy of four general-purpose artificial intelligence (AI) models-ChatGPT (...
BACKGROUND: To identify novel periodontal phenotypes using unsupervised machine learning on a large-...
BACKGROUND: Rheumatoid arthritis (RA) is a chronic autoimmune disease that can cause significant dis...
BACKGROUND: Recognized worldwide as a major health threat and Sustainable Development Goal priority,...
BACKGROUND: Prostate‑specific antigen (PSA) screening involves complex trade‑offs between early dete...
Diabetes is one of the most prevalent chronic diseases worldwide, with rates that continue to increa...
OBJECTIVES: Early sepsis and stroke recognition by emergency medical services (EMS) improves triage,...
BACKGROUND: Oropharyngeal dysphagia (OD) commonly occurs in patients with COVID-19 disease, posing d...
The aims of the present study were to develop and validate a predictive model for lower limb Varicos...
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease is highly prevalent in adults w...
Tailoring cancer treatment to the primary tumor site is essential for optimal outcomes, yet identify...
Chemotherapy-induced madarosis significantly impacts patient quality of life, yet current assessment...
Mental health disorders like depression and anxiety pose global challenges, requiring accurate, non-...
The promotion and application of pulmonary function tests (PFTs) in China have achieved preliminary ...
Butylphthalide (NBP) is a lipophilic small-molecule drug characterized by its multi-target and multi...
BACKGROUND: Osteoporosis is a major global health issue, but current early screening tools lack accu...
Machine learning has the potential to address limitations of traditional osteoporosis screening thro...
The global rise in the prevalence of obesity highlights the need for accessible and effective soluti...
OBJECTIVE: To evaluate an embedded artificial intelligence (AI) system for otoscopic image-based scr...
Artificial intelligence (AI) holds transformative potential for advancing oral health surveillance b...