Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives
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 natu...
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doaj-546555eccb494c03949e48f07f33e6652021-02-21T00:03:36ZengMDPI AGDiagnostics2075-44182021-02-011135435410.3390/diagnostics11020354Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future PerspectivesOctavian Sabin Tătaru0Mihai Dorin Vartolomei1Jens J. Rassweiler2Oșan Virgil3Giuseppe Lucarelli4Francesco Porpiglia5Daniele Amparore6Matteo Manfredi7Giuseppe Carrieri8Ugo Falagario9Daniela Terracciano10Ottavio de Cobelli11Gian Maria Busetto12Francesco Del Giudice13Matteo Ferro14The Institution Organizing University Doctoral Studies (I.O.S.U.D,) George Emil Palade University of Medicine, Pharmacy, Sciences and Technology from Târgu Mureș, 540142 Târgu Mureș, RomaniaDepartment of Cell and Molecular Biology, George Emil Palade University of Medicine, Pharmacy, Sciences and Technology from Târgu Mureș, 540142 Târgu Mureș, RomaniaDepartment of Urology, SLK Kliniken Heilbronn, University of Heidelberg, 74074 Heilbronn, GermanyThe Institution Organizing University Doctoral Studies (I.O.S.U.D,) George Emil Palade University of Medicine, Pharmacy, Sciences and Technology from Târgu Mureș, 540142 Târgu Mureș, RomaniaDepartment of Emergency and Organ Transplantation-Urology, Andrology and Kidney Transplantation Unit, University of Bari, 70124 Bari, ItalyDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, 10143 Turin, ItalyDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, 10143 Turin, ItalyDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, 10143 Turin, ItalyDepartment of Urology and Organ Transplantation, University of Foggia, 71122 Foggia, ItalyDepartment of Urology and Organ Transplantation, University of Foggia, 71122 Foggia, ItalyDepartment of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, ItalyDivision of Urology, European Institute of Oncology (IEO)-IRCCS, 20141 Milan, ItalyDepartment of Urology and Renal Transplantation, University of Foggia, Policlinico Riuniti of Foggia, 71122 Foggia, ItalyDepartment of Urology, Policlinico Umberto I, Sapienza University of Rome, 00185 Rome, ItalyDivision of Urology, European Institute of Oncology (IEO)-IRCCS, 20141 Milan, ItalyArtificial 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.https://www.mdpi.com/2075-4418/11/2/354prostate cancerbiomarkergenomicsartificial intelligenceartificial neural network |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Octavian Sabin Tătaru Mihai Dorin Vartolomei Jens J. Rassweiler Oșan Virgil Giuseppe Lucarelli Francesco Porpiglia Daniele Amparore Matteo Manfredi Giuseppe Carrieri Ugo Falagario Daniela Terracciano Ottavio de Cobelli Gian Maria Busetto Francesco Del Giudice Matteo Ferro |
spellingShingle |
Octavian Sabin Tătaru Mihai Dorin Vartolomei Jens J. Rassweiler Oșan Virgil Giuseppe Lucarelli Francesco Porpiglia Daniele Amparore Matteo Manfredi Giuseppe Carrieri Ugo Falagario Daniela Terracciano Ottavio de Cobelli Gian Maria Busetto Francesco Del Giudice Matteo Ferro Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives Diagnostics prostate cancer biomarker genomics artificial intelligence artificial neural network |
author_facet |
Octavian Sabin Tătaru Mihai Dorin Vartolomei Jens J. Rassweiler Oșan Virgil Giuseppe Lucarelli Francesco Porpiglia Daniele Amparore Matteo Manfredi Giuseppe Carrieri Ugo Falagario Daniela Terracciano Ottavio de Cobelli Gian Maria Busetto Francesco Del Giudice Matteo Ferro |
author_sort |
Octavian Sabin Tătaru |
title |
Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives |
title_short |
Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives |
title_full |
Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives |
title_fullStr |
Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives |
title_full_unstemmed |
Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives |
title_sort |
artificial intelligence and machine learning in prostate cancer patient management—current trends and future perspectives |
publisher |
MDPI AG |
series |
Diagnostics |
issn |
2075-4418 |
publishDate |
2021-02-01 |
description |
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. |
topic |
prostate cancer biomarker genomics artificial intelligence artificial neural network |
url |
https://www.mdpi.com/2075-4418/11/2/354 |
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