IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Emerging Applications of Artificial Intelligence (AI) and Machine Learning (ML) in Modern Urology

Emerging Applications of Artificial Intelligence (AI) and Machine Learning (ML) in Modern Urology
View Sample PDF
Author(s): Ranjit Barua (OmDayal Group of Institutions, India), Surajit Das (R.G. Kar Medical College and Hospital, India)and Jaydeep Mondal (College of Medicine and Sagore Dutta Hospital, India)
Copyright: 2023
Pages: 17
Source title: Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare
Source Author(s)/Editor(s): Ricardo Queirós (ESMAD, Polytechnic Institute of Porto, Portugal), Bruno Cunha (PORTIC, Polytechnic Institute of Porto, Portugal)and Xavier Fonseca (PORTIC, Polytechnic Institute of Porto, Portugal)
DOI: 10.4018/978-1-6684-5260-8.ch006

Purchase

View Emerging Applications of Artificial Intelligence (AI) and Machine Learning (ML) in Modern Urology on the publisher's website for pricing and purchasing information.

Abstract

AI (artificial intelligence) and ML (machine learning) are the technical controlling implements for clarifying difficult difficulties in modern urology. AI may also progress in surgical training and exercise due to its computerized performance. Presently, the ML technique has been recognized to be a respectable method to attain difficult configuration recognition and regression analysis dispossessed of a clear need to idea and crack the essential physical prototypes. ML is the best comprehensively applied model because of the great dataset that is currently available, robust computational power, and refined algorithm architecture. AI may also be engaged in progressive strategies. This chapter aims to offer a synopsis of the current state of AI and ML tools in either analysis, conclusion, treatment potentials, or diagnosis consequence estimate in practical urology.

Related Content

Dina Darwish. © 2024. 43 pages.
Kassim Kalinaki, Musau Abdullatif, Sempala Abdul-Karim Nasser, Ronald Nsubuga, Julius Kugonza. © 2024. 23 pages.
Yogita Yashveer Raghav, Ramesh Kait. © 2024. 17 pages.
Renuka Devi Saravanan, Shyamala Loganathan, Saraswathi Shunmuganathan. © 2024. 21 pages.
Veera Talukdar, Ardhariksa Zukhruf Kurniullah, Palak Keshwani, Huma Khan, Sabyasachi Pramanik, Ankur Gupta, Digvijay Pandey. © 2024. 30 pages.
Dharmesh Dhabliya, Sukhvinder Singh Dari, Nitin N. Sakhare, Anish Kumar Dhablia, Digvijay Pandey, Balakumar Muniandi, A. Shaji George, A. Shahul Hameed, Pankaj Dadheech. © 2024. 9 pages.
Avtar Singh, Shobhana Kashyap. © 2024. 11 pages.
Body Bottom