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Open AccessReview

The Application of Artificial Intelligence in Prostate Cancer Management—What Improvements Can Be Expected? A Systematic Review

1
IRSET, 35000 Rennes, France
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Department of Urology, Service d’urologie, Rennes University Hospital, Hôpital Pontchaillou, 2, rue Henri Le Guilloux, 35000 Rennes, France
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SciLicium, 5 la hurbinais, 35850 Gévezé, France
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Department of Urology, Medical University Vienna, General Hospital, 1090 Vienna, Austria
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Department of Urology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA
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Department of Urology, Weill Cornell Medical College, New York, NY 10065, USA
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Karl Landsteiner Institute, 1090 Vienna, Austria
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Division of Urology, Department of Special Surgery, Jordan University Hospital, The University of Jordan, 11942 Amman, Jordan
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Institute for Urology and Reproductive Health, Sechenov University, 119991 Moscow, Russia
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Department of Urology, Second Faculty of Medicine, Charles University, 15006 Prague, Czech Republic
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Department of Urology, CHU de Tours, 2, boulevard Tonnellé, 37000 Tours, France
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2020, 10(18), 6428; https://doi.org/10.3390/app10186428
Received: 15 August 2020 / Revised: 30 August 2020 / Accepted: 7 September 2020 / Published: 15 September 2020
(This article belongs to the Special Issue Artificial Intelligence for Personalised Medicine)
Artificial Intelligence (AI) is progressively remodeling our daily life. A large amount of information from “big data” now enables machines to perform predictions and improve our healthcare system. AI has the potential to reshape prostate cancer (PCa) management thanks to growing applications in the field. The purpose of this review is to provide a global overview of AI in PCa for urologists, pathologists, radiotherapists, and oncologists to consider future changes in their daily practice. A systematic review was performed, based on PubMed MEDLINE, Google Scholar, and DBLP databases for original studies published in English from January 2009 to January 2019 relevant to PCa, AI, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, and Natural-Language Processing. Only articles with full text accessible were considered. A total of 1008 articles were reviewed, and 48 articles were included. AI has potential applications in all fields of PCa management: analysis of genetic predispositions, diagnosis in imaging, and pathology to detect PCa or to differentiate between significant and non-significant PCa. AI also applies to PCa treatment, whether surgical intervention or radiotherapy, skills training, or assessment, to improve treatment modalities and outcome prediction. AI in PCa management has the potential to provide a useful role by predicting PCa more accurately, using a multiomic approach and risk-stratifying patients to provide personalized medicine. View Full-Text
Keywords: artificial intelligence; machine learning; deep learning artificial neural network; natural-language processing; prostate cancer; computer-aided diagnosis; prediction performance; individualized medicine; healthcare improvement; outcomes; diagnosis; prognosis; treatment artificial intelligence; machine learning; deep learning artificial neural network; natural-language processing; prostate cancer; computer-aided diagnosis; prediction performance; individualized medicine; healthcare improvement; outcomes; diagnosis; prognosis; treatment
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MDPI and ACS Style

Thenault, R.; Kaulanjan, K.; Darde, T.; Rioux-Leclercq, N.; Bensalah, K.; Mermier, M.; Khene, Z.-e.; Peyronnet, B.; Shariat, S.; Pradère, B.; Mathieu, R. The Application of Artificial Intelligence in Prostate Cancer Management—What Improvements Can Be Expected? A Systematic Review. Appl. Sci. 2020, 10, 6428. https://doi.org/10.3390/app10186428

AMA Style

Thenault R, Kaulanjan K, Darde T, Rioux-Leclercq N, Bensalah K, Mermier M, Khene Z-e, Peyronnet B, Shariat S, Pradère B, Mathieu R. The Application of Artificial Intelligence in Prostate Cancer Management—What Improvements Can Be Expected? A Systematic Review. Applied Sciences. 2020; 10(18):6428. https://doi.org/10.3390/app10186428

Chicago/Turabian Style

Thenault, Ronan; Kaulanjan, Kevin; Darde, Thomas; Rioux-Leclercq, Nathalie; Bensalah, Karim; Mermier, Marie; Khene, Zine-eddine; Peyronnet, Benoit; Shariat, Shahrokh; Pradère, Benjamin; Mathieu, Romain. 2020. "The Application of Artificial Intelligence in Prostate Cancer Management—What Improvements Can Be Expected? A Systematic Review" Appl. Sci. 10, no. 18: 6428. https://doi.org/10.3390/app10186428

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