AccScience Publishing / EJMO / Volume 7 / Issue 4 / DOI: 10.14744/ejmo.2023.93033
LETTER TO THE EDITOR

Catalyzing Breast Cancer Diagnosis: Ai Advancements in Mammography

Sawera Haider1
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1 Department of Surgery, Dr. Ruth K. M. Pfau, Civil Hospital Karachi, Dow University of Health Sciences (DUHS), Sindh, Pakistan
EJMO 2023, 7(4), 402–403; https://doi.org/10.14744/ejmo.2023.93033
Submitted: 11 October 2023 | Accepted: 13 November 2023 | Published: 29 December 2023
© 2023 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Conflict of interest
None declared.
References

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2. Chen Y, Taib AG, Darker IT, James JJ. Performance of a breast cancer detection ai algorithm using the personal performance in mammographic screening scheme. Radiology 2023;308:e223299.
3. Chen Z, Lin L, Wu C, Li C, Xu R, Sun Y. Artificial intelligence for assisting cancer diagnosis and treatment in the era of precision medicine. Cancer Commun 2021;41:1100–15.
4. Razak A, Nirmala CR, Sreenivasa BR, Lahza H, Lahza HFM. A survey on detecting healthcare concept drift in AI/ML models from a finance perspective. Front Artif Intell 2023;5:955314. 
5. Mittermaier M, Raza MM, Kvedar JC. Bias in AI-based models for medical applications: Challenges and mitigation strategies. Npj Digit Med 2023;6:1–3.
6. Erickson BJ, Kitamura F. Magician’s corner: 8: How to connect an artificial intelligence tool to PACS. Radiol Artif Intell 2021;3:e200105.

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Eurasian Journal of Medicine and Oncology, Electronic ISSN: 2587-196X Print ISSN: 2587-2400, Published by AccScience Publishing