Latest AI and machine learning research in preventive care for healthcare professionals.
BACKGROUND: Postoperative delirium is an acute, fluctuating neurocognitive syndrome. It is among the most common perioperative complications in older patients and is associated with increased morbidity and mortality, a prolonged length of stay, complications, and persistent cognitive impairment. After major head and neck procedures, the risk is particularly high; risk factors often accumulate, inc...
BACKGROUND: Thrombosis in rotary blood pumps arises from complex flow conditions that remain difficult to translate into reliable and interpretable risk predictions using existing computational models. This limitation reflects an incomplete understanding of how specific flow features contribute to thrombus initiation and growth. This study introduces an feature-based supervised machine learning fr...
Neoantigens have emerged as central targets in the development of individualized cancer vaccines, as they are recognized by the immune system as forei...
AIMS: To map and systematise existing research on the use of artificial intelligence (AI) in mental health-based diabetes care contexts, identify tren...
Psychological treatments are increasingly being developed and delivered using platforms such as mobile applications, online modules, virtual reality, ...
PURPOSE: Artificial intelligence (AI) has emerged as a pivotal tool in enhancing the management of gestational diabetes mellitus (GDM). With its risin...
BACKGROUND: Accurate and rapid diagnosis is essential for controlling pulmonary tuberculosis (PTB) by enabling timely intervention and reducing diseas...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming colorectal surgery through applications spanning screening to postoperative care. Thi...
BACKGROUND: Tuberculosis remains a major global health challenge, particularly in resource-limited settings where access to expert radiological interp...
BACKGROUND: Recent developments in physiological, imaging and digital biomarkers combined with the approval of new disease-modifying drugs against Alz...
OBJECTIVE: Thyroid eye disease (TED) is an autoimmune condition associated with thyroid dysfunction, often presenting with complex and variable orbita...
Targeting the main protease (Mpro) of coronaviruses has emerged as a promising therapeutic strategy for combating viral infections. Despite the global...
Cardiovascular disease represents the leading cause of mortality in China, accounting for over 40% of all deaths. Existing risk prediction models pred...
OBJECTIVES: Whole-body MRI is increasingly used for preventive health screening; however, the prevalence and distribution of incidental oncologically ...
BACKGROUND: Noncompliance with mental health referrals among US military personnel remains a significant barrier to care. Operational deployments and ...
In recent years, the rapid increase in the production and environmental release of synthetic organic chemicals has raised serious concerns about their...
Artificial intelligence (AI) has been transforming many aspects of medical care. In prostate cancer, ongoing progress in AI has improved research and ...
Artificial intelligence (AI) has the potential to improve primary diabetes care in low-income and middle-income countries (LMICs), where the rising bu...
Epidemic risk assessment poses inherent challenges, with traditional approaches often failing to balance health outcomes and economic constraints. Thi...
BACKGROUND: While artificial intelligence (AI)-assisted diagnostic software holds promise for improving diagnostic efficiency and reducing disparities...