Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 May 7:64:641-643.
doi: 10.2340/1651-226X.2025.43320.

Balancing between A and I

Emma Skovgaard Pedersen  1 , Christoffer Johansen  2 , Mette Kielsholm Thomsen  3
Affiliations

Balancing between A and I

Emma Skovgaard Pedersen et al. Acta Oncol. .
No abstract available

PubMed Disclaimer

Conflict of interest statement

The authors report there are no competing interests to declare.

Figures

Figure 1
Figure 1
From 65 PubMed hits until 2014 to more than 4000 in 2020–2024: Reports with AI/ML and cancer in the title, by publication period and type of report.
See this image and copyright information in PMC

References

    1. Global cancer burden growing, amidst mounting need for services [Internet]. [cited 2025 Mar 6]. Available from: https://www.who.int/news/item/01-02-2024-global-cancer-burden-growing--a... - PMC - PubMed
    1. Singh G, Kamalja A, Patil R, Karwa A, Tripathi A, Chavan P. A comprehensive assessment of artificial intelligence applications for cancer diagnosis. Artif Intell Rev. 2024;57(7):179. 10.1007/s10462-024-10783-6 - DOI
    1. Eisemann N, Bunk S, Mukama T, Baltus H, Elsner SA, Gomille T, et al. . Nationwide real-world implementation of AI for cancer detection in population-based mammography screening. Nat Med. 2025;31(2)1–8. 10.1038/s41591-024-03408-6 - DOI - PMC - PubMed
    1. Ng AY, Oberije CJG, Ambrózay É, Szabó E, Serfőző O, Karpati E, et al. . Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer. Nat Med. 2023;29(12):3044–9. 10.1038/s41591-023-02625-9 - DOI - PMC - PubMed
    1. Hassan C, Spadaccini M, Mori Y, Foroutan F, Facciorusso A, Gkolfakis P, et al. . Real-time computer-aided detection of colorectal neoplasia during colonoscopy : a systematic review and meta-analysis. Ann Intern Med. 2023;176(9):1209–20. 10.7326/M22-3678 - DOI - PubMed

LinkOut - more resources