Medicine and Health

Deep learning based automatic detection algorithm for acute intracranial haemorrhage: a pivotal randomized clinical trial

T. J. Yun, J. W. Choi, et al.

This innovative study developed and validated an AI algorithm that enhances the diagnosis of acute intracranial hemorrhage through brain CT imaging. The research reveals that AI-assisted interpretation significantly boosts diagnostic accuracy, especially among non-radiologist physicians. This groundbreaking work was conducted by a team of experts including Tae Jin Yun, Jin Wook Choi, Miran Han, Woo Sang Jung, Seung Hong Choi, Roh-Eul Yoo, and In Pyeong Hwang.