A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI

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Veröffentlicht in:	Nature medicine 2021-10, Vol.27 (10), p.1663-1665
Hauptverfasser:	Sounderajah, Viknesh, Ashrafian, Hutan, Rose, Sherri, Shah, Nigam H., Ghassemi, Marzyeh, Golub, Robert, Kahn, Charles E., Esteva, Andre, Karthikesalingam, Alan, Mateen, Bilal, Webster, Dale, Milea, Dan, Ting, Daniel, Treanor, Darren, Cushnan, Dominic, King, Dominic, McPherson, Duncan, Glocker, Ben, Greaves, Felix, Harling, Leanne, Ordish, Johan, Cohen, Jérémie F., Deeks, Jon, Leeflang, Mariska, Diamond, Matthew, McInnes, Matthew D. F., McCradden, Melissa, Abràmoff, Michael D., Normahani, Pasha, Markar, Sheraz R., Chang, Stephanie, Liu, Xiaoxuan, Mallett, Susan, Shetty, Shravya, Denniston, Alastair, Collins, Gary S., Moher, David, Whiting, Penny, Bossuyt, Patrick M., Darzi, Ara
Format:	Artikel
Sprache:	eng
Schlagworte:	692/308/575 692/700/139 Artificial intelligence Artificial Intelligence - trends Biomedical and Life Sciences Biomedicine Cancer Research Correspondence Diagnostic tests Diagnostic Tests, Routine - trends Humans Infectious Diseases Metabolic Diseases Molecular Medicine Neurosciences Quality assessment Quality control
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