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Hundreds of millions of CT scans are done each year for other reasons. Software could check each one for early lung, kidney, liver and pancreas changes, but only if a follow-up system exists.
Opportunistic screening algorithms exist for lung nodules, renal masses, liver lesions, and body composition. Propose a module running on all adult CTs with structured incidental-finding output, an automated tracking system to ensure follow-up, and a registry recording downstream procedures and cancers found so harm can be measured.
Shares Aidoc, Early detection of cancer, AI in radiology, CT (computed tomography).
Shares Early detection of cancer, AI in radiology, CT (computed tomography), The hardest cancers are found late.
Shares AI in radiology, Overdiagnosis and false alarms, CT (computed tomography), Non-small-cell lung cancer.
Shares Aidoc, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow, AI in radiology, CT (computed tomography).
Shares CT (computed tomography), Renal cell carcinoma, Hepatocellular carcinoma, Non-small-cell lung cancer.
Shares Early detection of cancer, The hardest cancers are found late, Pancreatic ductal adenocarcinoma.
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow, AI in radiology, CT (computed tomography).
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow, AI in radiology, CT (computed tomography).