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Impact of Artificial Intelligence and Machine Learning on Urological Practice

Muhammad Jabran Abad Ali, Imran Rashid Rangraze

Year
2024
Citations
2

Abstract

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.

Keywords

Patient careMedicineBig dataHealth careArtificial intelligenceDiseaseMedical physicsComputer sciencePathologyData mining

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