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TRV-2026-1043Certified recordPeer-reviewed

Beyond the Algorithm: A Stewardship Framework for the Hand Surgeon Adopting Artificial Intelligence

Artificial intelligence is entering hand surgery through imaging, outcome prediction, and patient communication. Neural networks read scaphoid and distal radius radiographs. Machine learning models predict outcomes after carpal tunnel release. Large language models are being tested for patient communication and chart drafting. Adoption, however, has outpaced validation. Most hand surgery artificial intelligence tools are tested only on data resembling their training set, deployed in workflows that have not been…

Health · The Trace — both readings · certified 2026-09-10 · v1 · article view · machine-readable

Current reading — gain

AI tools are entering hand surgery practice to read scaphoid and distal radius radiographs and to predict outcomes after carpal tunnel release.

Current reading — problem

Most hand surgery AI tools are deployed in unaudited workflows and rarely remeasured after release after testing only on training-like data, leaving the hand surgeon accountable for patient outcomes shaped by opaque models.

What this doesn’t fix

Current hand surgery AI tools are often validated only on data resembling their training set, have opaque internal workings, and are rarely remeasured after release.

Evidence

Reader signal

How should this claim be treated?

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Truvace Impact Record TRV-2026-1043, v1: “Beyond the Algorithm: A Stewardship Framework for the Hand Surgeon Adopting Artificial Intelligence.” Truvace, 2026-09-10. /record/TRV-2026-1043 (accessed at citation time). sha256 d3ee647768040c9d…

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