Work

MRI-based Deep Learning Algorithm for Assisting Clinically Significant Prostate Cancer Detection: A Bicenter Prospective Study

Year: 2025

Type: article

Study design: Observational Study

Source: Radiology

DOI: 10.1148/radiol.232788

Authors: Young Joon Lee, Young Joon Lee, Hyong Woo Moon, Moon Hyung Choi, Seung Eun Jung, Yong Hyun Park, Ji Youl Lee, Dong Hwan Kim, Sung Eun Rha, Sang Hoon Kim, Kyu Won Lee, Yeong-Jin Choi, Young Sub Lee, Young Sub Lee, Woojoo Lee, Seungjae Lee, Robert Grimm, Heinrich von Busch, Dongyeob Han, Bin Lou, Ali Kamen

Institutions: The Catholic University of Korea Eunpyeong St. Mary's Hospital, Catholic University of Korea, The Catholic University of Korea Seoul St. Mary's Hospital, Seoul National University, Siemens Healthineers (Germany), Siemens (United States), Siemens Healthcare (United States)

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4408332488

FWCI: 14.64

Cites: 33

Cited by: 36

Related to: 10