Latest AI and machine learning research in preventive care for healthcare professionals.
BACKGROUND: The inability to predict risk in early pregnancy for preeclampsia represents a major limitation in prenatal care. OBJECTIVES: We used machine-learning approaches to identify early pregnancy features that distinguish women who develop preeclampsia from those with normotensive pregnancies, specifically focusing on the influence of maternal biological age. METHODS: Data were analyzed from...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by multifactorial pathology, including amyloid-β (Aβ) aggregation, tau hyperphosphorylation, oxidative stress, neuroinflammation, and synaptic dysfunction. Despite extensive research, currently approved treatment provides only symptomatic relief, while recently approved disease-modifying monoclonal antibodies have s...
BACKGROUND AND AIM: Pharmacovigilance is essential to ensuring patient safety by enabling timely identification of adverse reactions in increasingly c...
BACKGROUND: AI is increasingly being integrated into health care, making it important to understand stakeholder preferences for AI-enabled technologie...
BACKGROUND: Colorectal cancer is the third most common and second deadliest cancer in the USA, but cases and deaths are preventable through appropriat...
INTRODUCTION: Oral examinations are central to medical and paramedical education for assessing reasoning, communication, and professional competencies...
UNLABELLED: This study aims to map ethical, legal, social, professional, and implementation issues associated with artificial intelligence (AI) in neo...
OBJECTIVES: A screening-trained deep learning (DL) model (DL1) for pulmonary nodule malignancy probability estimation on CT previously demonstrated go...
This mixed-methods study assessed whether reasoning-enabled large language models (LLMs) can classify stances towards COVID-19 vaccination on X (forme...
BACKGROUND: Infectious Diseases require rapid decisions based on heterogeneous and evolving clinical data. At the same time, the shortage of infectiou...
Gallstone disease is a gastrointestinal condition requiring accessible, low-cost screening tools. We developed an interpretable ensemble stacking mode...
IMPORTANCE: Health care policies often fail to achieve their goals due to implementation challenges attributable to workforce constraints, fragmented ...
BACKGROUND: Interval cancer, breast cancer detected after a negative screening examination but before the next scheduled appointment, represents a cha...
HPV is the most common sexually transmitted infection; most sexually active individuals are exposed to HPV at some point in their lives, and the major...
INTRODUCTION: Infection is a common and potentially fatal complication during the treatment of hematological diseases, particularly in the context of ...
BACKGROUND: The medical black bag is synonymous with physicians, especially general practitioners, who are expected to be ready to provide care across...
BACKGROUND: Real-time breath metabolomic profiling may detect lung cancer-associated breath features, but exploratory case-control findings require ca...
Early screening can significantly reduce the severe morbidity and mortality of respiratory diseases and alleviate the burden on public healthcare syst...
Research engaged with AI has dramatically increased due to a huge improvement of technologies in terms of cost and time-effectiveness as well as decre...