|
KMID : 1240020230270000073
|
|
International Neurourology Journal
2023 Volume.27 No. 0 p.73 ~ p.81
|
|
|
Emerging Trends in Artificial Intelligence-Based Urological Imaging Technologies and Practical Applications
|
|
Kim Hyun-Suh
Kim Eun-Joung
Kim Jung-Yoon
|
|
|
Abstract
|
|
|
|
The integration of artificial intelligence (AI) into medical imaging has notably expanded its significance within urology. AI applications offer a broad spectrum of utilities in this domain, ranging from precise diagnosis achieved through image segmentation and anomaly detection to improved procedural assistance in biopsies and surgical interventions. Although challenges persist concerning data security, transparency, and integration into existing clinical workflows, extensive research has been conducted on AI-assisted imaging technologies while recognizing their potential to reshape urological practices. This review paper outlines current AI techniques employed for image analysis to offer an overview of the latest technological trends and applications in the field of urology.
|
|
|
KEYWORD
|
|
|
Urology, Medical imaging, Artificial intelligence, Machine learning, Applications
|
|
|
FullTexts / Linksout information
|
|
|
|
|
Listed journal information
|
|
|
|