The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Artificial intelligence in digital breast pathology: Techniques and applications
Open accessAbstract
Breast cancer is the most common cancer and second leading cause of cancer-related death worldwide. The mainstay of breast cancer workup is histopathological diagnosis - which guides therapy and prognosis. However, emerging knowledge about the complex nature of cancer and the availability of tailored therapies have exposed opportunities for improvements in diagnostic precision. In parallel, advances in artificial intelligence (AI) along with the growing digitization of pathology slides for the primary diagnosis are a promising approach to meet the demand for more accurate detection, classification and prediction of behaviour of breast tumours. In this article, we cover the current and prospective uses of AI in digital pathology for breast cancer, review the basics of digital pathology and AI, and outline outstanding challenges in the field.
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“AI algorithms skillfully analyze medical imaging and electronic health records to detect health changes that indicate the presence of cancer.”
From Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions (2023) · cites this paper as [48]
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Metadata
- Authors
- Ibrahim, A., Gamble, P., Jaroensri, R., Abdelsamea, M. M., Mermel, C. H., Chen, P.-H. C., & Rakha, E. A.
- Affiliations
- Nottingham University Hospitals NHS Trust (GB)
- Google (United States) (US)
- Birmingham City University (GB)
- Corresponding author
- Rakha, Emad A.
- Venue
- The Breast
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 49
- Pages
- 267-273
- ISSN
- 0960-9776 (ISSN-L)
- PMC
- PMC7375550
- OpenAlex
- W2995106101
- Cited by
- 202
- References
- 81
- Citations by year
- 2026: 15 · 2025: 27 · 2024: 39 · 2023: 45 · 2022: 34 · 2021: 30 · 2020: 11
- FWCI
- 1.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Breast (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Keywords
- artificial intelligence, digital pathology, breast cancer, histopathological diagnosis, diagnostic precision
- MeSH terms
- Artificial Intelligence, Breast, Breast Neoplasms, Female, Humans, Image Interpretation, Computer-Assisted
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