Overcoming the challenges to implementation of artificial intelligence in pathology
- 17 March 2023
- journal article
- editorial
- Published by Oxford University Press (OUP) in JNCI Journal of the National Cancer Institute
- Vol. 115 (6), 608-612
- https://doi.org/10.1093/jnci/djad048
Abstract
Pathologists worldwide are facing remarkable challenges with increasing workloads and lack of time to provide consistently high-quality patient care. The application of artificial intelligence (AI) to digital whole-slide images has the potential of democratizing the access to expert pathology and affordable biomarkers by supporting pathologists in the provision of timely and accurate diagnosis as well as supporting oncologists by directly extracting prognostic and predictive biomarkers from tissue slides. The long-awaited adoption of AI in pathology, however, has not materialized, and the transformation of pathology is happening at a much slower pace than that observed in other fields (eg, radiology). Here, we provide a critical summary of the developments in digital and computational pathology in the last 10 years, outline key hurdles and ways to overcome them, and provide a perspective for AI-supported precision oncology in the future.Funding Information
- Breast Cancer Research Foundation
- NIH
- NCI (P50 CA247749 01)
- Cancer Center Core (P30-CA008748)
- German Federal Ministry of Health
- Max-Eder-Programme of the German Cancer Aid (#70113864)
- German Federal Ministry of Education and Research (01KD2104C)
- German Academic Exchange Service (57616814)
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