Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate cancer-Reference-Cited by-同舟云学术

Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate cancer

Published:2019-11-05 Issue:10 Volume:38 Page:2329-2347
ISSN:0724-4983
Container-title:World Journal of Urology
language:en
Short-container-title:World J Urol

Author:

Suarez-Ibarrola Rodrigo^ORCID,Hein Simon,Reis Gerd,Gratzke Christian,Miernik Arkadiusz

Publisher

Springer Science and Business Media LLC

Subject

Urology

Link

http://link.springer.com/content/pdf/10.1007/s00345-019-03000-5.pdf

Reference56 articles.

1. Nuffield Council on Bioethics (2018) Bioethics briefing notes: artificial intelligence (AI) in healthcare and research. https://nuffieldbioethics.org/wp-content/uploads/Artificial-Intelligence-AI-in-healthcare-and-research.pdf . Accessed 21 Dec 2018

2. Frankish K, Ramsey WM (eds) (2014) Introduction. The Cambridge handbook of artificial intelligence. Cambridge University Press, Cambridge, pp 1–14

3. Stuart R, Norvig P (eds) (2010) Artificial intelligence—a modern approach, 3rd edn. Prentice Hall, Upper Saddle River

4. Tran BX et al (2019) Global evolution of research in artificial intelligence in health and medicine: a bibliometric study. J Clin Med 8(3):360

5. Goldenberg SL, Nir G, Salcudean SE (2019) A new era: artificial intelligence and machine learning in prostate cancer. Nat Rev Urol 16(7):391–403

Cited by 108 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning-based risk prediction of hypoxemia for outpatients undergoing sedation colonoscopy: a practical clinical tool;Postgraduate Medicine;2024-02-05

2. Machine learning applications in detection and diagnosis of urology cancers: a systematic literature review;Neural Computing and Applications;2024-01-29

3. CNN-based diagnosis model of children’s bladder compliance using a single intravesical pressure signal;Computer Methods in Biomechanics and Biomedical Engineering;2024-01-09

4. Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities;AIMS Public Health;2024

5. Automated Prediction of Neoadjuvant Chemoradiotherapy Response in Locally Advanced Cervical Cancer Using Hybrid Model-Based MRI Radiomics;Diagnostics;2023-12-19