Artificial intelligence system shows performance at the level of uropathologists for the detection and grading of prostate cancer in core needle biopsy: an independent external validation study

Autor:	Minsun Jung, Min-Sun Jin, Chungyeul Kim, Cheol Lee, Ilias P. Nikas, Jeong Hwan Park, Han Suk Ryu
Rok vydání:	2022
Předmět:	Male Observer Variation Artificial Intelligence Biopsy Humans Prostatic Neoplasms Biopsy Large-Core Needle Neoplasm Grading Pathology and Forensic Medicine
Zdroj:	Modern Pathology. 35:1449-1457
ISSN:	0893-3952
Popis:	Accurate diagnosis and grading of needle biopsies are crucial for prostate cancer management. A uropathologist-level artificial intelligence (AI) system could help make unbiased decisions and improve pathologists' efficiency. We previously reported an artificial neural network-based, automated, diagnostic software for prostate biopsy, DeepDx
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88c1bf09963076bec57bbab11829dc6f https://doi.org/10.1038/s41379-022-01077-9 Zobrazit plný text záznamu Full text from SpringerLink