Artificial intelligence in prostate cancer: Definitions, current research, and future directions.

Artificial Intelligence Forecasting Humans Male Prostatic Neoplasms / diagnosis Tumor Microenvironment
Artificial intelligence Computational pathology Machine learning Prostate cancer Urologic oncology

Journal

Urologic oncology
ISSN: 1873-2496
Titre abrégé: Urol Oncol
Pays: United States
ID NLM: 9805460

Informations de publication

Date de publication:
06 2022
Historique:
received: 05 12 2021
revised: 19 01 2022
accepted: 10 03 2022
pubmed: 18 4 2022
medline: 18 5 2022
entrez: 17 4 2022
Statut: ppublish

Résumé

Multiple novel modalities tasking artificial intelligence based computational pathology applications and integrating other variables, such as risk factors, tumor microenvironment, genomic testing data, laboratory findings, clinical history, and radiology findings, will improve diagnostic consistency and generate a synergistic diagnostic workflow. In this article, we present the concise and contemporary review on the utilization of artificial intelligence in prostate cancer and identify areas for possible future applications.

Identifiants

DOI: 10.1016/j.urolonc.2022.03.003 PMID: 35430139
pubmed: 35430139
pii: S1078-1439(22)00077-1
doi: 10.1016/j.urolonc.2022.03.003
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

262-270

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Rose S George (RS)

Department of Pathology and Laboratory Medicine, Albany Medical Center, Albany, NY.

Arkar Htoo (A)

Department of Pathology and Laboratory Medicine, Albany Medical Center, Albany, NY.

Michael Cheng (M)

Department of Medicine, Indianapolis, Indianapolis, IN.

Timothy M Masterson (TM)

Department of Urology, Indianapolis, IN.

Kun Huang (K)

Department of Medicine, Indianapolis, Indianapolis, IN; Department of Biostatistics and Health Data Science, Indianapolis, IN; Regenstrief Institute, Indianapolis, IN.

Nabil Adra (N)

Department of Medicine, Indianapolis, Indianapolis, IN; Department of Urology, Indianapolis, IN.

Hristos Z Kaimakliotis (HZ)

Department of Urology, Indianapolis, IN.

Mahmut Akgul (M)

Department of Pathology and Laboratory Medicine, Albany Medical Center, Albany, NY. Electronic address: akgulm@amc.edu.

Liang Cheng (L)

Department of Urology, Indianapolis, IN; Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN. Electronic address: liang_cheng@yahoo.com.

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Classifications MeSH

questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Artificial intelligence in prostate cancer:...
questionsmedicales.fr › Sciences sociales › Prévision › Artificial intelligence in prostate cancer:...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Artificial intelligence in prostate cancer:...
questionsmedicales.fr › Maladies urogénitales › Tumeurs de l'appareil urogénital › Tumeurs de l'appareil génital mâle › Tumeurs de la prostate › Artificial intelligence in prostate cancer:...
questionsmedicales.fr › Phénomènes physiologiques cellulaires › Microenvironnement cellulaire › Microenvironnement tumoral › Artificial intelligence in prostate cancer:...