Search Results 721-730 of 18143 for "artificial intelligence"
The purpose of this study is to determine: if the artificial intelligence (AI)-generated results are less arduous than manual tracing by radiation oncologist, ...
The aim of this study is to develop machine-learning algorithms and infrastructure through the analysis of MR image data for training and testing, for the ...
... artificial intelligence. Dr. Vidal is a Board-certified Fellow of the American Board of Dermatology, and Board-certified in the subspecialty of Micrographic ...
Machine learning is one of the branches of artificial intelligence that uses systematic classification or grouping based on an internal logical framework in ...
Predicting cirrhosis-related readmissions using machine learning. ... Currently, the lab is working with Mayo's Enterprise Agile Transformation Office to develop ...
Title: Evaluation of an Artificial Intelligence Assistant in Managing Uncomplicated Urinary Tract Infections in Women Artificial Intelligence Assistant ...
“Using deep learning artificial intelligence (AI), we examined if we could predict whether a patient would achieve clinical improvement. The predictive ...
Artificial intelligence-enhanced electrocardiogram for arrhythmogenic right ventricular cardiomyopathy detection. Eur Heart J Digit Health. 2024 Mar; 5 (2): ...
... artificial intelligence (AI) algorithms; Exposure to state-of-the-art anti-microbial susceptibility testing methods; Specific training in infectious disease ...
... Artificial Intelligence in Radiology. J Thorac Imaging. 2020 Jul; 35 (4):255 ... Development of novel machine learning model for right ventricular quantification ...
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