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Artificial Intelligence and Its Impact on Urological Diseases and Management: A Comprehensive Review of the Literature.

Authors
  • Hameed, B M Zeeshan1, 2, 3, 4
  • S Dhavileswarapu, Aiswarya V L5
  • Raza, Syed Zahid6
  • Karimi, Hadis7
  • Khanuja, Harneet Singh8
  • Shetty, Dasharathraj K9
  • Ibrahim, Sufyan3, 10
  • Shah, Milap J1, 3
  • Naik, Nithesh3, 4, 11
  • Paul, Rahul12
  • Rai, Bhavan Prasad13
  • Somani, Bhaskar K1, 3, 14
  • 1 Department of Urology, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India. , (India)
  • 2 KMC Innovation Centre, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India. , (India)
  • 3 iTRUE (International Training and Research in Uro-Oncology and Endourology) Group, Manipal 576104, Karnataka, India. , (India)
  • 4 Curiouz Techlab Private Limited, Manipal Government of Karnataka Bioincubator, Manipal 576104, Karnataka, India. , (Cuba)
  • 5 Department of Electronics and Communication, GITAM University, Gandhi Nagar, Rushi Konda, Visakhapatnam 530045, Andhra Pradesh, India. , (India)
  • 6 Department of Urology, Dr. B.R. Ambedkar Medical College, Bengaluru 560045, Karnataka, India. , (India)
  • 7 Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India. , (India)
  • 8 Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India. , (India)
  • 9 Department of Humanities and Management, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India. , (India)
  • 10 Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India. , (India)
  • 11 Department of Mechanical and Manufacturing, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India. , (India)
  • 12 Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.
  • 13 Department of Urology, Freeman Hospital, Newcastle NE7 7DN, UK.
  • 14 Department of Urology, University Hospital Southampton NHS Trust, Southampton SO16 6YD, UK.
Type
Published Article
Journal
Journal of Clinical Medicine
Publisher
MDPI AG
Publication Date
Apr 26, 2021
Volume
10
Issue
9
Identifiers
DOI: 10.3390/jcm10091864
PMID: 33925767
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Recent advances in artificial intelligence (AI) have certainly had a significant impact on the healthcare industry. In urology, AI has been widely adopted to deal with numerous disorders, irrespective of their severity, extending from conditions such as benign prostate hyperplasia to critical illnesses such as urothelial and prostate cancer. In this article, we aim to discuss how algorithms and techniques of artificial intelligence are equipped in the field of urology to detect, treat, and estimate the outcomes of urological diseases. Furthermore, we explain the advantages that come from using AI over any existing traditional methods.

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