Development of a Deep Learning-Based Predictive Model for Improvement after Holmium Laser Enucleation of the Prostate According to Detrusor Contractility

Development of a Deep Learning-Based Predictive Model for Improvement after Holmium Laser Enucleation of the Prostate According to Detrusor Contractility

Purpose Predicting improvements in voiding symptoms following deobstructive surgery for male lower urinary tract symptoms/benign prostatic hyperplasia (LUTS/BPH) is challenging when detrusor contractility is impaired. This study aimed to develop an artificial intelligence model that predicts symptom...

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Bibliographic Details
Main Authors: Jong Hoon Lee, Jung Hyun Kim, Myung Jin Chung, Kyu-Sung Lee, Kwang Jin Ko
Format: Article
Language:English
Published: Korean Continence Society 2024-11-01
Series:International Neurourology Journal
Subjects:
artificial intelligence
benign prostatic hyperplasia
lower urinary tract symptoms
urinary bladder
underactive
Online Access:http://einj.org/upload/pdf/inj-2448362-181.pdf
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http://einj.org/upload/pdf/inj-2448362-181.pdf

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