Latest AI and machine learning research in surveillance for healthcare professionals.
Colonoscopy is a crucial tool for evaluating lower gastrointestinal disease, monitoring high-risk patients for colorectal neoplasia, and screening for colorectal cancer. In the United States, over 14 million colonoscopies are performed annually, with a significant portion dedicated to post-polypectomy follow-up. Accurate measurement of colorectal polyp size during colonoscopy is essential, as it i...
In recent years, global accessibility to large 'big data' repositories that enable 'open research' - such as the UK Biobank, National Health and Nutrition Examination Survey (NHANES), and Global Burden of Disease (GBD) datasets - has created unprecedented opportunities for researchers worldwide to conduct secondary data analyses. This development is particularly beneficial for early-career researc...
The worldwide prevalence of overweight and obesity has increased rapidly in the last decades. This rise has led to a surge in comorbidities such as ty...
As fine-needle aspiration techniques and diagnostic methodologies for thyroid nodules have continued to evolve and reporting systems have been updated...
Electronic health record (EHR)-based models to identify individuals who may benefit from pre-exposure prophylaxis (PrEP) outperform traditional risk s...
Mining activities have long been associated with significant environmental impacts, including deforestation, habitat degradation, and biodiversity los...
An increasing number of scholars, policymakers and grassroots communities argue that artificial intelligence (AI) research-and computer-vision researc...
Endoscopic submucosal dissection (ESD) enables en-bloc resection of large lesions more than 20 mm in size. Therefore, the use of ESD has gained broade...
Emergency radiology has evolved into a significant subspecialty over the past 2 decades, facing unique challenges including escalating imaging volumes...
The responsible reporting of suicide in media is crucial for public health, as irresponsible coverage can potentially promote suicidal behaviors. This...
The past 25 years have seen the explosion of digital health care-from 1s and 0s initially serving most researchers for accomplishing their work, to th...
Antibiotic resistance poses a critical global health threat, demanding robust surveillance systems to monitor its prevalence, patterns, and trends. Th...
Several residency programs have begun investigating artificial intelligence (AI) methods to facilitate application screening processes. However, no u...
Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. However, single ultrasound examinations often result...
Identifying disease risk factors, characterizing their effects, and forecasting disease risk across space and time are crucial tasks in human, animal,...
Traditional experimental methods for determining antibiotic resistance phenotypes (ARPs) and minimum inhibitory concentrations (MICs) in bacteria are ...
Clinical management and surveillance of the complex (ECC) face significant challenges due to inaccurate species identification and prolonged turnarou...
In the context of Evidence-Based Practice (EBP), Systematic Reviews (SRs), Meta-Analyses (MAs) and overview of reviews have become cornerstones for th...
Background and study aims Prophylactic total gastrectomy (PTG) is the definitive treatment for hereditary diffuse gastric cancer syndrome (HDGC). Endo...
Forecasting systems for harmful algal blooms (HABs) are becoming more common, as HAB monitoring is increasingly networked and aggregated at national a...