CAIHL read · Jun 12, 2026
Revisiting the ABCs of Working with AI: A Replication with Radiologists
Framework
What CAIHL does
Critical AI Health Literacy (CAIHL) is an analytical lens — Hugo Campos and Liz Salmi's 2025 National Academy of Medicine commentary, "Critical AI Health Literacy as Liberation Technology." It applies Paulo Freire's theory of critical literacy to health AI.
The central question CAIHL asks is whose interests does this AI actually serve? Four dimensions answer it: who is the primary user, where is it hosted, whose interests does it advance, and does it expand or constrain patient agency.
This deep-read separates the four dimensions on a single item from the day's scan, so you can see the specific structural shape of the AI in question — not just the bucket it landed in.
The four dimensions
How this item reads through CAIHL
Primary user
clinician
Clinicians or care teams are the primary users. Patients are affected downstream.
Hosting
institutional
Hosted inside a health system, insurer, or large employer. Access controlled by the institution.
Interests
patient-aligned
Interest structure prioritizes patients. Operates on a philanthropic, public-service, or advocacy footing.
Agency
neutral
Neither clearly expanding nor constraining patient agency.
Editor's CAIHL read
One-sentence synthesis
Replication study on clinician-AI collaboration; agency direction depends on whether deployment decisions actually shift in response.
In the scan
How this item appeared in the daily scan
Editor's note: Replication is the methodological floor every clinical AI claim has to clear before it can move from preprint to deployment. The fact that this study had to be published as a replication five years after the original findings is the field's own admission that the move had not been made.
Summary: arXiv: Replication study testing whether prior-decade findings on radiologist-AI collaboration (calibration, anchoring, automation bias) hold up under updated model conditions and contemporary radiology workflow.
methodology
Limitations
CAIHL is a lens, not a verdict. The four dimensions are conditions of use — reassess them when a tool's business model, deployment context, or patient behavior changes. See the NAM commentary for the full framework.