Latest AI and machine learning research in primary care for healthcare professionals.
Dental caries is a chronic and progressive destruction of dental hard tissue under the combined action of multiple factors, with the pits and fissures on the occlusal surfaces of posterior teeth being the most susceptible sites. During tooth development, fissure morphology is regulated by the enamel knot. The depth, width, and shape of fissures directly influence plaque retention and cleaning diff...
The shift from the traditional empirical approach to a more data-driven method in the diagnosis and treatment of GI cancers is significant due to advancements in overall precision medicine and digital healthcare. Artificial intelligence(AI),the driving force behind the technological revolution,is increasingly being used in screening,diagnosis,treatment,and rehabilitation in gastrointestinal surger...
OBJECTIVE: To assess the agreement between the ChatGPT Plus (GPT 4.1) version and human consensus during the screening of studies in four different ev...
Cardiology has undergone an impressive transformation from the initial anatomical observations of William Harvey to the current data-driven precision ...
BACKGROUND AND OBJECTIVES: The ageing population is a critical global issue shaped by demographic transitions. Despite growing research, a comprehensi...
Current methods for determining the neurotoxic potential of (agro)chemicals are not comprehensive enough, as is suggested by the increased incidence o...
PURPOSE: As obesity has reached pandemic proportions worldwide, improving technical solutions for its treatment requires robust planning and numerical...
The clinical presentation of acromegaly reflects systemic effects of chronic GH and IGF-I excess. Diagnostic delay frequently ranges from 6 to 10 year...
BACKGROUND: Large language models (LLMs) are undergoing exploration as clinical decision support tools. However, their role in complex, high-stakes tr...
AIMS: Digital interventions have emerged as promising tools to support mental well-being in diabetes. This review aimed to evaluate the effectiveness ...
Respiratory syncytial virus (RSV) remains a major cause of severe acute respiratory infections across the life course, particularly in infants, older ...
Medical text records serve as essential repositories of patient information, providing a foundation for informed clinical decision-making, accurate di...
BACKGROUND: Digital technology integrates information and communication tools such as electronic health records, wearable devices, and artificial inte...
BACKGROUND: Postoperative delirium (POD) is a common and serious complication in older surgical patients, associated with increased morbidity, prolong...
Diabetes mellitus represents one of the most prevalent chronic diseases worldwide, posing serious challenges to global health and healthcare sustainab...
BACKGROUND: The escalating prevalence of screen-related eye fatigue has become a health burden in the digital era worldwide, yet routine monitoring re...
Objective: To systematically summarize and evaluate the current application status and research progress of artificial intelligence (AI) in cervical c...
An ECG-based artificial intelligence (AI) model was previously developed to generate ten digital biomarkers for emergency and cardiac assessment and i...
Early screening and antiviral therapy for significant liver inflammation in chronic hepatitis B (CHB) remain significant barriers as the key to diseas...
Hygroscopicity is one of the critical material attributes (CMAs) of active pharmaceutical ingredients (APIs), and excessive hygroscopicity can adverse...