Latest AI and machine learning research in surveillance for healthcare professionals.
CT angiography prior to endovascular aortic surgery is the standard non-invasive imaging method for evaluation of aortic dimensions and access sites. A detailed report is crucial to a proper planning. We assessed Artificial Intelligence (AI)-algorithm accuracy to measure vessels diameters at CT prior to transcatheter aortic valve implantation (TAVI). CT scans of 50 patients were included. Two Radi...
INTRODUCTION: Artificial intelligence (AI) and machine learning (ML) in pediatric urology is gaining increased popularity and credibility. However, the literature lacks standardization in reporting and there are areas for methodological improvement, which incurs difficulty in comparison between studies and may ultimately hurt clinical implementation of these models. The "STandardized REporting of ...
In this study, we utilized data from the Surveillance, Epidemiology, and End Results (SEER) database to predict the glioblastoma patients' survival ou...
This work puts forth and demonstrates the utility of a reporting framework for collecting and evaluating annotations of medical images used for traini...
Advances in Artificial Intelligence (AI) have led to AI systems' being used increasingly in medical education research. Current methods of reporting o...
BACKGROUND: The burden of cryptococcosis in mainland China is enormous. However, the characterization and molecular epidemiology in Guangdong, a key ...
Essential elements required for proper use of artificial intelligence machine learning tools in biomedical research and scientific publications includ...
BACKGROUND: Fluorine-18 fluorodeoxyglucose (FDG)-positron emission tomography/computed tomography (PET/CT) is widely used for staging high-grade lymph...
Globally, millions of lives are impacted every year by infectious diseases outbreaks. Comprehensive and innovative surveillance strategies aiming at e...
The impact of clinical prediction models within artificial intelligence (AI) and machine learning is significant. With its ability to analyze vast amo...
The surge in computer-based health surveillance applications, leveraging technologies like big data analytics, artificial intelligence, and the Intern...
Applications of machine learning in the biomedical sciences are growing rapidly. This growth has been spurred by diverse cross-institutional and inter...
A sizable percentage of the population in India still does not have easy access to dental facilities. Therefore, it is of interest to document the rol...
Like other minoritized populations, American Indian/Alaska Native (AI/AN) females experience disparate morbidity and mortality outcomes to that of the...
Free-text information represents a valuable resource for epidemiological surveillance. Its unstructured nature, however, presents significant challeng...
Hispanic and American Indian (AI) women experience lower breast cancer incidence than non-Hispanic White (NHW) women, but later-stage diagnoses and lo...
The increasing demand for healthcare-acquired infection (HAI) control practices and services has intensified the need to evaluate care quality. The Wo...
Domestic and industrial wastewater treatment plants (WWTPs) are facing formidable challenges in effectively eliminating emerging pollutants and conven...
Social media dominate today's information ecosystem and provide valuable information for social research. Market researchers, social scientists, polic...
Chat Generative Pre-trained Transformer (ChatGPT), the flagship generative artificial intelligence (AI) chatbot by OpenAI, is transforming many things...