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Impact of Artificial Intelligence and Machine Learning on Urological Practice

  • Ras Al Khaima Medical and Health Sciences University

Research output: Contribution to journal › Review article › peer-review

2 Scopus citations

Abstract

Artificial intelligence (AI) has revolutionized urology while reshaping clinical practice and research. It excels in predicting treatment outcomes and enhancing disease diagnosis accuracy, particularly in bladder disorders such as interstitial cystitis, bladder cancer, and reproductive urology. AI's data analysis capabilities enable early detection and prognosis by identifying patterns in vast datasets. It paves the way for more personalized treatments and reshapes disease classification. In the age of 'big data,' AI simplifies complex healthcare information while improving decision-making and patient care. In addition, physical AI applications in robot-assisted surgery and nanotechnology enhance drug administration precision, surgical effectiveness, and patient outcomes. This review highlights AI's pivotal role in identifying and treating urological disorders, aiding surgical guidance, and advancing tissue engineering, showcasing its significant impact and ongoing progress in the field of urology.

Original languageEnglish
Pages (from-to)235-241
Number of pages7
JournalJournal of Datta Meghe Institute of Medical Sciences University
Volume19
Issue number2
DOIs
StatePublished - 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Artificial intelligence
  • artificial intelligence-surgical guidance
  • bladder cancer
  • deep learning
  • machine learning
  • prostate cancer
  • tissue engineering
  • urological scaffolds
  • urology

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