The Role of Artificial Intelligence in Early Cancer Detection: Exploring Early Clinical Applications-Reference-Cited by-同舟云学术

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The Role of Artificial Intelligence in Early Cancer Detection: Exploring Early Clinical Applications

Published:2024-04-01 Issue:2 Volume:1 Page:91-105
ISSN:2993-091X
Container-title:AI in Precision Oncology
language:en
Short-container-title:AI in Precision Oncology

Author:

Thaker Nikhil G.¹²^ORCID,Dicker Adam P.³,Loaiza-Bonilla Arturo⁴,Wallace Africa¹,Kolman Diana¹,Godshalk Ruggles Ashlee¹,Manda Sudhir⁵,Frank Steven J.⁶,Orio Peter⁷,Doria Cataldo¹

Affiliation:

1. Department of Radiation Oncology, Capital Health, Pennington, New Jersey, USA.

2. Bayta Systems, Newtown, Pennsylvania, USA.

3. Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.

4. MassiveBio, New York, New York, USA.

5. Department of Medical Oncology, Arizona Oncology Associates PC, Tucson, Arizona, USA.

6. Department of Radiation Oncology, MD Anderson Division of Radiation Oncology, Houston, Texas, USA.

7. Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.

Publisher

Mary Ann Liebert Inc

Link

https://www.liebertpub.com/doi/pdf/10.1089/aipo.2023.0011

Reference99 articles.

1. Health-care expenditure and health policy in the USA versus other high-spending OECD countries

2. From Sick Care to Health Care — Reengineering Prevention into the U.S. System

3. The Age of Scientific Wellness

4. Identifying cellular cancer mechanisms through pathway-driven data integration

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