An Oncology Artificial Intelligence Fact Sheet for Cancer Clinicians-Reference-Cited by-同舟云学术

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An Oncology Artificial Intelligence Fact Sheet for Cancer Clinicians

Published:2023-05-01 Issue:5 Volume:9 Page:612
ISSN:2374-2437
Container-title:JAMA Oncology
language:en
Short-container-title:JAMA Oncol

Author:

Bitterman Danielle S.¹²,Kamal Aqdas¹³,Mak Raymond H.¹²

Affiliation:

1. Artificial Intelligence in Medicine (AIM) Program, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts

2. Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Boston, Massachusetts

3. Graduate School of Design, Harvard University, Boston, Massachusetts

Publisher

American Medical Association (AMA)

Subject

Oncology,Cancer Research

Link

https://jamanetwork.com/journals/jamaoncology/articlepdf/2802831/jamaoncology_bitterman_2023_ed_230005_1684353157.50235.pdf

Reference7 articles.

1. Artificial intelligence in radiation oncology.;Huynh;Nat Rev Clin Oncol,2020

2. Human factors challenges for the safe use of artificial intelligence in patient care.;Sujan;BMJ Health Care Inform,2019

3. Presenting machine learning model information to clinical end users with model facts labels.;Sendak;NPJ Digit Med,2020

4. Clinical validation of deep learning algorithms for radiotherapy targeting of non–small-cell lung cancer: an observational study.;Hosny;Lancet Digit Health,2022

5. Approaching autonomy in medical artificial intelligence.;Bitterman;Lancet Digit Health,2020

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1. Potential application of artificial intelligence in cancer therapy;Current Opinion in Oncology;2024-06-24

2. Artificial intelligence in pharmacy: A guide for clinicians;American Journal of Health-System Pharmacy;2024-02-23

3. Application of artificial intelligence in cancer diagnosis and tumor nanomedicine;Nanoscale;2024

4. Molecular Profiling and Personalized Medicine in Drug-Resistant Breast Cancer;Overcoming Breast Cancer Therapy Resistance;2024

5. Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach;Journal of the American Medical Informatics Association;2023-10-17

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