Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade
2023 · EBioMedicine · 97 citations
https://doi.org/10.1016/j.ebiom.2022.104427
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David S. McClintock
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David S. McClintock is an academic researcher from Mayo Clinic in Arizona. The author has contributed to research in topics: AI in cancer detection & Artificial Intelligence in Healthcare and Education & Radiomics and Machine Learning in Medical Imaging. The author has an h-index of 19, co-authored 45 publications.
ORCID: 0000-0003-4297-4367Papers by this author
worksQuantitative Image Analysis as an Adjunct to Manual Scoring of ER, PgR, and HER2 in Invasive Breast Carcinoma
2021 · American Journal of Clinical Pathology · 23 citations
https://doi.org/10.1093/ajcp/aqab206
Pathology informatics fellowship retreats: The use of interactive scenarios and case studies as pathology informatics teaching tools
2012 · Journal of Pathology Informatics · 9 citations
https://doi.org/10.4103/2153-3539.103995
Bridging the Clinical-Computational Transparency Gap in Digital Pathology
2024 · Archives of Pathology & Laboratory Medicine · 4 citations
https://doi.org/10.5858/arpa.2023-0250-ra
Higher dose corticosteroids in hospitalised COVID-19 patients requiring ventilatory support (RECOVERY): a randomised, controlled, open-label, platform trial
2025 · EClinicalMedicine · 3 citations
https://doi.org/10.1016/j.eclinm.2025.103080
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