Scan the millions of cancer slides already sitting in hospital basements and connect each to what happened to the patient, creating the world's largest training set for pathology AI.
Pathology departments hold decades of glass slides with matched registry outcomes. Digitising them at scale (tens of millions of slides) and linking to registry survival, treatment and recurrence data would create a public resource that dwarfs any commercial pathology AI training set. Precedents include the PathLAKE and iCAIRD centres in the UK, the TCGA image collection, and the NHS digital pathology programme. Cost is dominated by scanning and storage, both of which have fallen sharply.
Shares Pathology & radiology foundation models, AI that is built but not validated or deployed, Digital pathology & AI, Data silos.
Shares Pathology & radiology foundation models, AI that is built but not validated or deployed, Digital pathology & AI.
Shares Pathology & radiology foundation models, AI that is built but not validated or deployed, Digital pathology & AI.
Shares AI that is built but not validated or deployed, Digital pathology & AI, Data silos.
Shares Pathology & radiology foundation models, AI that is built but not validated or deployed, Digital pathology & AI, Data silos.
Shares Digital pathology & AI, Histopathology & immunohistochemistry.
Shares Pathology & radiology foundation models, AI that is built but not validated or deployed, Digital pathology & AI.
Shares Digital pathology & AI, Histopathology & immunohistochemistry.