Artificial intelligence: improving the efficiency of cardiovascular imaging

A Lin, M Kolossváry, I Išgum… - Expert review of …, 2020 - Taylor & Francis
Introduction Artificial intelligence (AI) describes the use of computational techniques to
mimic human intelligence. In healthcare, this typically involves large medical datasets being …

Artificial intelligence: improving the efficiency of cardiovascular imaging

A Lin, M Kolossváry, I Išgum… - Expert review of …, 2020 - pubmed.ncbi.nlm.nih.gov
Introduction Artificial intelligence (AI) describes the use of computational techniques to
mimic human intelligence. In healthcare, this typically involves large medical datasets being …

Artificial intelligence: improving the efficiency of cardiovascular imaging

A Lin, M Kolossváry, I Išgum… - Expert Review of …, 2020 - research.monash.edu
Introduction: Artificial intelligence (AI) describes the use of computational techniques to
mimic human intelligence. In healthcare, this typically involves large medical datasets being …

[HTML][HTML] Artificial intelligence: improving the efficiency of cardiovascular imaging

A Lin, M Kolossváry, I Išgum… - Expert review of …, 2020 - ncbi.nlm.nih.gov
Introduction—Artificial intelligence (AI) describes the use of computational techniques to
mimic human intelligence. In healthcare, this typically involves large medical datasets being …

Artificial intelligence: improving the efficiency of cardiovascular imaging.

A Lin, M Kolossváry, I Išgum… - Expert Review of …, 2020 - europepmc.org
Introduction—Artificial intelligence (AI) describes the use of computational techniques to
mimic human intelligence. In healthcare, this typically involves large medical datasets being …

[PDF][PDF] Artificial intelligence: improving the efficiency of cardiovascular imaging

A Lin, M Kolossváry, I Išgum, P Maurovich-Horvat… - 2020 - researchgate.net
Introduction: Artificial intelligence (AI) describes the use of computational techniques to
mimic human intelligence. In healthcare, this typically involves large medical datasets being …