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 language | English |
|---|---|
| Pages (from-to) | 235-241 |
| Number of pages | 7 |
| Journal | Journal of Datta Meghe Institute of Medical Sciences University |
| Volume | 19 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
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
Fingerprint
Dive into the research topics of 'Impact of Artificial Intelligence and Machine Learning on Urological Practice'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver