Latest AI and machine learning research in surveillance for healthcare professionals.
Cancer therapy-related cardiac dysfunction remains a major cause of morbidity among cancer survivors and may interrupt life-saving oncologic therapy or lead to chronic heart failure. Conventional surveillance relies largely on serial assessment of left ventricular ejection fraction, which often detects myocardial injury only after significant and sometimes irreversible remodeling has occurred. A m...
Large language models are rapidly becoming embedded in everyday life through artificial intelligence (AI) chatbots that people use for practical assistance and companionship, as well as for support with mental health and emotional well-being. Alongside clear benefits, clinicians and public reports increasingly describe a minority of users whose interactions seem to drift over days or weeks toward ...
The integration of artificial intelligence (AI) into infection surveillance represents a significant shift in public health; however, most AI framewor...
Fecalith-associated appendicitis presents unique challenges in conservative management due to increased perforation risk. Early identification of pati...
Plague, caused by Yersinia pestis, persists as a public health threat, particularly in natural foci such as China's Inner Mongolia Autonomous Region. ...
Background: Health technology assessment (HTA) increasingly informs reimbursement, adoption, scale-up, and disinvestment decisions, yet many evidentia...
BACKGROUND: Accurate and timely early warning of seasonal influenza epidemics continues to pose a critical public health challenge. Innovative methodo...
BACKGROUND: Rare diseases affect more than 300 million people globally, and only about 5% have approved therapies. Lysosomal storage disorders (LSDs) ...
MRI has a central role in the diagnosis and management of prostate cancer, including active surveillance (AS) of low- and favourable intermediate-risk...
BACKGROUND: Effective postdischarge management is essential for maintaining disease control and improving long-term outcomes in rheumatoid arthritis (...
Swine influenza A viruses (swIAV) are a major cause of respiratory disease in pigs, and vaccination remains the main control strategy. The objective o...
BACKGROUND: In the field of patient monitoring, there often remains a gap between clinical needs and the monitoring technologies available from indust...
Computer-aided colonoscopy (CAC) may improve polyp detection and characterization compared to traditional colonoscopy (TC). However, recent studies al...
BACKGROUND: Current literature on AAA is characterized by selective outcome reporting, while guideline recommendations are frequently based on studies...
BACKGROUND: Critically ill patients generate large volumes of complex data, creating challenges for timely clinical decision making in intensive care ...
Digital solutions are essential for eliminating tuberculosis as a public health problem. They can be applied across all stages of patient care, health...
Chronic kidney disease (CKD), defined per the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines by persistent (≥3 months) abnormalities of ...
OBJECTIVES: Forecasting the effective reproductive number (Rt) and infection case counts is critical for guiding public health responses. We developed...
AIM: Artificial intelligence (AI) is one of the most revolutionary developments in the field of medicine in recent history, with radiology being one o...
Artificial intelligence is emerging as a powerful tool for improving mental health research and care, offering opportunities for early intervention, p...