The Evolving Landscape of Urology

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참고문헌 (7)

1. Shin H, "Machine learning models for the noninvasive diagnosis of bladder outlet obstruction and detrusor underactivity in men with lower urinary tract symptoms", Int Neurourol J, 28(Suppl 2), pp.S74~S81 (2024)
2. Lee JH, "Development of a deep learning-based predictive model for improvement after holmium laser enucleation of the prostate according to detrusor contractility", Int Neurourol J, 28(Suppl 2), pp.S82~S89 (2024)
3. Lee SJ, "Public views on managing benign prostatic hyperplasia-related voiding dysfunction : potential applications of digital therapeutic", Int Neurourol J, 28(Suppl 2), pp.S90~S96 (2024)
4. Yu JE, "Lower urinary tract symptoms in mental illness : a topic modeling approach to online mental health communities", Int Neurourol J, 28(Suppl 2), pp.S97~S105 (2024)
5. Lee SJ, "Social perceptions and public concerns regarding male hormone levels : a comparative analysis of news and community data", Int Neurourol J, 28(Suppl 2), pp.S106~S113 (2024)
6. Kang HS, "Vasectomy discussions in South korea : central themes and public interest on question-and-answer social platforms", Int Neurourol J, 28(Suppl 2), pp.S114~S128 (2024)
7. Park HJ, "Exploring large language models and the metaverse for urologic applications : potential, challenges, and the path forward", Int Neurourol J, 28(Suppl 2), pp.S65~S73 (2024)

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