前列腺癌
医学
人工智能
机器学习
癌症
算法
内科学
计算机科学
作者
Stefano Marletta,Albino Eccher,Filippo Maria Martelli,Nicola Santonicco,Ilaria Girolami,Aldo Scarpa,Fabio Pagni,Vincenzo L’Imperio,Liron Pantanowitz,Stefano Gobbo,Davide Seminati,Angelo Paolo Dei Tos,Anil V. Parwani
出处
期刊:American Journal of Clinical Pathology
[Oxford University Press]
日期:2023-12-16
卷期号:161 (6): 526-534
被引量:9
摘要
The high incidence of prostate cancer causes prostatic samples to significantly affect pathology laboratories workflow and turnaround times (TATs). Whole-slide imaging (WSI) and artificial intelligence (AI) have both gained approval for primary diagnosis in prostate pathology, providing physicians with novel tools for their daily routine.
科研通智能强力驱动
Strongly Powered by AbleSci AI