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U of A researchers use AI to diagnose disease faster in study co-authored by student killed on Flight PS752 Lauren Boothby © Provided by Edmonton Journal Newlyweds Arash Pourzarabi, 26, letf, and Pouneh Gorji, 25, are among 63 Canadians killed after a plane crashed shortly after taking off from the Tehran International Airport in Iran on Wednesday, Jan. 9, 2020. University of Alberta researchers are using artificial intelligence to improve how diseases are diagnosed with a new model created in part by a student killed on Flight PS752 in Tehran, Iran. The team of computer scientists created a new deep-learning model a type of machine learning that uses algorithms to find patterns, then make models and predictions that helps a computer learn to identify diseases on medical scans faster and more accurately.

Pouneh gorjiArash pourzarabiRoberto vegaUniversity of albertaUkraine international airlinesUkraine international airlines flightTehran international airportInternational conference on artificial intelligenceNewlyweds arash pourzarabiEdmonton journal newlyweds arash pourzarabiSample efficient learningInternational conferenceArtificial intelligenceரொபெர்டோ வேகாபல்கலைக்கழகம் ஆஃப் ஆல்பர்ட்டாஉக்ரைன் சர்வதேச விமான நிறுவனங்கள்