Aidoc
Radiology AI company with the first FDA-cleared foundation-model triage platform (CARE, January 2026); oncology-relevant for incidental findings and workflow.
CARE foundation model cleared with 11 new indications in one workflow (mean sensitivity 97%, specificity 98% in the pivotal study); Breakthrough Device designation (June 2026) for First Read, which drafts chest radiograph reports. Not oncology-specific but sets the regulatory template for imaging foundation models.
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Shares No clinical claims for imaging-derived biomarkers without phantom and standards compliance, AI clears the normal lung screening scans so radiologists read only the suspicious ones, AI-assisted central imaging reads to cut endpoint cost and variability, AI in radiology.
- IdeaContinuous prospective validation for every oncology AI tool after deployment
Shares Pathology & radiology foundation models, AI in radiology, AI that is built but not validated or deployed.
- IdeaFederated training of pathology and radiology models across hospitals
Shares Pathology & radiology foundation models, AI in radiology, AI that is built but not validated or deployed.
- IdeaA randomised trial of AI scribes in oncology clinics measuring errors and time
Shares Not enough oncologists, nurses, pathologists, physicists, AI that is built but not validated or deployed.
- IdeaA federated learning consortium of cancer centres that jointly own the models
Shares Pathology & radiology foundation models, AI in radiology, AI that is built but not validated or deployed.
- TechnologyDermoscopy, total-body photography & AI skin analysis
Shares AI in radiology, Not enough oncologists, nurses, pathologists, physicists, AI that is built but not validated or deployed.
- IdeaDouble oncology capacity in low-resource settings with task-shifting and AI decision support
Shares Not enough oncologists, nurses, pathologists, physicists, AI that is built but not validated or deployed.
- IdeaValidate and reimburse AI contouring and planning to expand radiotherapy capacity
Shares AI in radiology, Not enough oncologists, nurses, pathologists, physicists, AI that is built but not validated or deployed.