What happened
Exact Sciences of Madison, Wisconsin, makes Cologuard, a stool test that combines DNA markers with a hemoglobin immunoassay into one score. The scoring model was built by stepwise selection on 953 samples. In the DeeP-C study, 12,776 adults were enrolled at 90 sites in the United States and Canada. Each gave a stool sample for Cologuard and for a commercial fecal immunochemical test and then had a colonoscopy. FDA reviewers report that Cologuard detected 92.3% of cancers and FIT 73.8%. For advanced adenomas the figures were 42.4% and 23.8%. Specificity was 86.6% for Cologuard and 94.9% for FIT. FDA estimated that Cologuard would find one more person with advanced neoplasia than FIT for every 5 extra false positives. The advisory panel voted 10 to 0 that there is reasonable assurance that the device is effective. FDA approved Cologuard on 11 August 2014. The summary does not call the scoring model machine learning.
Sources
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Regulatory document, by authors with no tie to the system.
Sensitivity for CRC was greater for Cologuard (92.3%, 60/65) than for FIT (73.8%, 48/65) (Table 12 and Figure 1), for a difference of 18.5%.
Details
AI system
- Workflow
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Participants collected stool with a kit, and Cologuard samples were batch tested at one of three laboratories. Laboratory technicians ran the test blinded to colonoscopy and FIT results.
Follow-up
- Conditions for replication
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The adult is 50 or older and at average risk for colorectal cancer. A positive result is followed by colonoscopy.
Entry details
- Sector
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Healthcare.
- Purpose
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Exact Sciences built Cologuard to screen adults aged 50 and over at average risk for colorectal cancer by detecting DNA markers and hidden blood in stool.
Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.
Cite this record
Peter H. Vartanian. (2026). Cologuard caught more colorectal cancers than a standard stool test (AIBD-0812). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0812.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)