The Current State of Artificial Intelligence Application in Urology

被引:2
|
作者
Kim, Eui-Sun [1 ]
Eun, Sung-Jong [2 ,4 ]
Youn, Seunghyun [3 ,5 ]
机构
[1] Soongsil Univ, Dept Media, Seoul, South Korea
[2] Digital Hlth Ind Team, Natl IT Ind Promot Agcy, Jincheon, South Korea
[3] GRK Partners Res Ctr, Seoul, South Korea
[4] Natl IT Ind Promot Agcy, Digital Hlth Ind Team, 10 Jeongtong Ro, Jincheon Gun 27872, South Korea
[5] GRK Partners Res Ctr, 200 Iteawon Ro, Seoul 04405, South Korea
关键词
Artificial intelligence; Uroflowmetry; Mobile voiding recorder; Urological disease; Neurogenic bladder; Urinary monitoring system; SYSTEM;
D O I
10.5213/inj.2346336.168
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Artificial intelligence (AI) is being used in many areas of healthcare, including disease diagnosis and personalized treatment and rehabilitation management. Medical AI research and development has primarily focused on diagnosis, prediction, treat-ment, and management as an aid to patient care. AI is being utilized primarily in the areas of personal healthcare and diagnos-tic imaging. In the field of urology, significant investments are being made in the development of urination monitoring sys-tems in the field of personal healthcare and ureteral stricture and urinary stone diagnosis solutions in the field of diagnostic imaging. In addition, AI technology is also being applied in the field of neurogenic bladder to develop risk monitoring systems based on video and audio data. This paper examines the application of AI to urological diseases and discusses the current trends and future prospects of AI research.
引用
收藏
页码:227 / 233
页数:7
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