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041 _afre
042 _adc
100 1 0 _aBajema, Ingeborg M.
_eauthor
245 0 0 _aMachine learning in medicine: Medical droids, tricorders, and a computer named Hal 9000
260 _c2021.
500 _a96
520 _aThe usage of artificial intelligence to evaluate histological images was recently explored in many different areas of pathology. Studies focusing on nephropathology demonstrated that algorithms could be trained to identify various structures of the kidney, like glomeruli and interstitium, as well as performing a classification task just as good as highly experienced pathologists. It is conceivable that further development of digitalized pathology in combination with all opportunities that artificial intelligence and machine learning have to offer, will rapidly change the work of the clinical pathologist in a substantial way.
690 _aMachine learning
690 _aKidney biopsy
690 _aNephropathology
690 _aArtificial intelligence
786 0 _nNéphrologie & Thérapeutique | Volume 17 | N° Supp 1 | 2021-01-15 | p. 51-53 | 1769-7255
856 4 1 _uhttps://shs.cairn.info/revue-nephrologie-et-therapeutique-2021-HS1-page-51?lang=en&redirect-ssocas=7080
999 _c759940
_d759940