Tătaru, Octavian Sabin and Vartolomei, Mihai Dorin and Rassweiler, Jens J. and Virgil, Oșan and Lucarelli, Giuseppe and Porpiglia, Francesco and Amparore, Daniele and Manfredi, Matteo and Carrieri, Giuseppe and Falagario, Ugo and Terracciano, Daniela and de Cobelli, Ottavio and Busetto, Gian Maria and Giudice, Francesco Del and Ferro, Matteo (2021) Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives. Diagnostics, 11 (2). p. 354. ISSN 2075-4418
![[thumbnail of diagnostics-11-00354-v2.pdf]](http://info.submit4journal.com/style/images/fileicons/text.png)
diagnostics-11-00354-v2.pdf - Published Version
Download (364kB)
Abstract
Artificial intelligence (AI) is the field of computer science that aims to build smart devices performing tasks that currently require human intelligence. Through machine learning (ML), the deep learning (DL) model is teaching computers to learn by example, something that human beings are doing naturally. AI is revolutionizing healthcare. Digital pathology is becoming highly assisted by AI to help researchers in analyzing larger data sets and providing faster and more accurate diagnoses of prostate cancer lesions. When applied to diagnostic imaging, AI has shown excellent accuracy in the detection of prostate lesions as well as in the prediction of patient outcomes in terms of survival and treatment response. The enormous quantity of data coming from the prostate tumor genome requires fast, reliable and accurate computing power provided by machine learning algorithms. Radiotherapy is an essential part of the treatment of prostate cancer and it is often difficult to predict its toxicity for the patients. Artificial intelligence could have a future potential role in predicting how a patient will react to the therapy side effects. These technologies could provide doctors with better insights on how to plan radiotherapy treatment. The extension of the capabilities of surgical robots for more autonomous tasks will allow them to use information from the surgical field, recognize issues and implement the proper actions without the need for human intervention.
Item Type: | Article |
---|---|
Subjects: | Eurolib Press > Medical Science |
Depositing User: | Managing Editor |
Date Deposited: | 22 Feb 2023 05:51 |
Last Modified: | 06 May 2024 06:10 |
URI: | http://info.submit4journal.com/id/eprint/676 |