Application of artificial intelligence to overcome clinical information overload in urological cancer-Reference-Cited by-同舟云学术

Application of artificial intelligence to overcome clinical information overload in urological cancer

Published:2022-01-17 Issue: Volume: Page:
ISSN:1464-4096
Container-title:BJU International
language:en
Short-container-title:BJU International

Author:

Stenzl Arnulf¹^ORCID,Sternberg Cora N.²³,Ghith Jenny⁴,Serfass Lucile⁵,Schijvenaars Bob J.A.⁶,Sboner Andrea⁷⁸

Affiliation:

1. Department of Urology University of Tübingen Tübingen Germany

2. Englander Institute for Precision Medicine Sandra and Edward Meyer Cancer Center New York NY USA

3. Weill Cornell Medicine Hematology/Oncology Sandra and Edward Meyer Cancer Center New YorkNYUSA

4. Pfizer, Inc. New York NY USA

5. Pfizer Oncology Paris France

6. Digital Science London UK

7. Englander Institute for Precision Medicine Weill Cornell Medicine New York NY USA

8. Department of Pathology and Laboratory Medicine Weill Cornell Medicine New York NY USA

Funder

Pfizer’s Centers for Therapeutic Innovation

Publisher

Wiley

Subject

Urology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/bju.15662

Reference48 articles.

1. Publons2018 Global state of peer review 2018.https://doi.org/10.14322/publons.GSPR2018

2. Artificial Intelligence Clinical Evidence Engine for Automatic Identification, Prioritization, and Extraction of Relevant Clinical Oncology Research

3. Clinical information seeking behavior of physicians: A systematic review

4. Electronic Knowledge Resources and Point-of-Care Learning

5. Comparing UpToDate and DynaMed Plus as medical knowledge resources for clinical decision support: cross‐over randomized trial;Baxter S;JMIR Preprints,2020

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