Multicenter, Head-to-Head, Real-World Validation Study of Seven Automated Artificial Intelligence Diabetic Retinopathy Screening Systems
Sign Up to like & getrecommendations! Published in 2021 at "Diabetes Care"
DOI: 10.2337/dc20-1877
Abstract: OBJECTIVE With rising global prevalence of diabetic retinopathy (DR), automated DR screening is needed for primary care settings. Two automated artificial intelligence (AI)–based DR screening algorithms have U.S. Food and Drug Administration (FDA) approval. Several… read more here.
Keywords: real world; diabetic retinopathy; world; artificial intelligence ... See more keywords
Automated artificial intelligence-enabled proactive preparedness real-time system for accurate prediction of COVID-19 infections— Performance evaluation
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DOI: 10.3389/fmed.2022.871885
Abstract: COVID-19 is a contagious disease that has infected over half a billion people worldwide. Due to the rapid spread of the virus, countries are facing challenges to cope with the infection growth. In particular, healthcare… read more here.
Keywords: system; automated artificial; intelligence enabled; enabled proactive ... See more keywords
Diagnostic Value of Fully Automated Artificial Intelligence Powered Coronary Artery Calcium Scoring from 18F-FDG PET/CT
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DOI: 10.3390/diagnostics12081876
Abstract: Objectives: The objective of this study was to assess the feasibility and accuracy of a fully automated artificial intelligence (AI) powered coronary artery calcium scoring (CACS) method on ungated CT in oncologic patients undergoing 18F-FDG… read more here.
Keywords: fully automated; automated artificial; fdg pet; cacs ... See more keywords