Latest AI and machine learning research in surveillance for healthcare professionals.
Skin cancers occur commonly worldwide. The prognosis and disease burden are highly dependent on the ...
PURPOSE: Liver cancer is a global challenge, and disparities exist across multiple domains and throu...
To perform a systematic review (SR) and meta-analysis (MA) of outcomes of robot-assisted laparoscop...
SARS-CoV-2 caused the first severe pandemic of the digital era. Computational approaches have been u...
For the past ten years, the healthcare sector and industry has witnessed a surge in Artificial Intel...
There has been increased excitement around the use of machine learning (ML) and artificial intellige...
OBJECTIVE: We describe our approach to surveillance of reportable safety events captured in hospital...
Deep learning (DL) is a powerful machine learning technique that has increasingly been used to predi...
OBJECTIVE: Data sets with demographic imbalances can introduce bias in deep learning models and pote...
BACKGROUND: With the use of artificial intelligence and machine learning techniques for biomedical i...
Logistic regression is a statistical tool of paramount significance in the field of epidemiology and...
BACKGROUND AND OBJECTIVES: Medical errors are a leading cause of death in the United States. Despite...
There is increasing popularity in the use of artificial intelligence and machine-learning techniques...
BACKGROUND AND PURPOSE: Vulvovaginal candidiasis (VVC) is an opportunistic infection due to species...
BACKGROUND: Systematic studies to estimate the disease burden of typhoid and paratyphoid in India ar...
The radiology reporting process is beginning to incorporate structured, semantically labeled data. T...
BACKGROUND AND OBJECTIVES: In an effort to improve and standardize the collection of adverse event d...
High-quality research is essential in guiding evidence-based care, and should be reported in a way t...
OBJECTIVE: Automated analysis of vaccine postmarketing surveillance narrative reports is important t...
BACKGROUND: Biparametric MRI (comprising T2-weighted MRI and apparent diffusion coefficient maps) is...
BACKGROUND: Surveillance of antimicrobial resistance (AMR) is critical to reducing its wide-reaching...