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Trained the first clinical-grade AI on tens of thousands of slides, leading to the first FDA-authorised AI pathology product.
Thomas Fuchs led the MSKCC work that trained a deep-learning system on 44,000 whole-slide images using only slide-level labels and showed it could triage prostate, skin and breast biopsies at clinical accuracy, the foundation for Paige Prostate, the first FDA-authorised AI in pathology. He co-founded Paige and now leads AI and human health at Mount Sinai, focusing on foundation models for medicine.
| Title | Journal | Year |
|---|---|---|
| Clinical-grade computational pathology using weakly supervised deep learning on whole slide images | Nature Medicine | 2019 |
| Computational pathology: challenges and promises for tissue analysis | Computerized Medical Imaging and Graphics | 2011 |
Shares Pathology & radiology foundation models, Digital pathology & AI and the tags ai, pathology.
Shares Pathology & radiology foundation models, Digital pathology & AI and the tags ai, pathology.
Shares Pathology & radiology foundation models, Digital pathology & AI and the tag pathology.
Shares Pathology & radiology foundation models, Digital pathology & AI, Prostate cancer.
Shares Pathology & radiology foundation models and the tag pathology.
Shares Pathology & radiology foundation models and the tag pathology.
Shares Digital pathology & AI, Prostate cancer.
Shares Digital pathology & AI, Prostate cancer and the tag ai.