Artificial intelligence in prostate cancer: Definitions, current research, and future directions-Reference-Cited by-同舟云学术

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

Published:2022-06 Issue:6 Volume:40 Page:262-270
ISSN:1078-1439
Container-title:Urologic Oncology: Seminars and Original Investigations
language:en
Short-container-title:Urologic Oncology: Seminars and Original Investigations

Author:

George Rose S.,Htoo Arkar,Cheng Michael,Masterson Timothy M.,Huang Kun,Adra Nabil,Kaimakliotis Hristos Z.,Akgul Mahmut,Cheng Liang^ORCID

Publisher

Elsevier BV

Subject

Urology,Oncology

Reference51 articles.

1. Cancer statistics, 2022;Siegel;CA Cancer J Clin,2022

2. Diagnosing 12 prostate needle cores within an hour of biopsy via open-top light-sheet microscopy;Xie;J Biomed Opt,2020

3. Urologic surgical pathology;Cheng,2020

4. Clinical deployment of AI for prostate cancer diagnosis;Janowczyk;Lancet Digital Health,2020

5. Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study;Bulten;Lancet Oncol,2020

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1. Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading;Computational and Structural Biotechnology Journal;2024-12

2. Effectiveness of ChatGPT 4.0 in Telemedicine-Based Management of Metastatic Prostate Carcinoma;Diagnostics;2024-08-29

3. Using multi-label ensemble CNN classifiers to mitigate labelling inconsistencies in patch-level Gleason grading;PLOS ONE;2024-07-05

4. Applications of Artificial Intelligence in Prostate Cancer Care: A Path to Enhanced Efficiency and Outcomes;American Society of Clinical Oncology Educational Book;2024-06

5. Navigating the evolving diagnostic and therapeutic landscape of low- and intermediate-risk prostate cancer;Asian Journal of Andrology;2024-05-03

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