pith:F6RAAPHO
From Clinical Intent to Clinical Model: Autonomous Coding-Agents for Clinician-driven AI Development
Clinicians can build working AI models for medical imaging by describing their goals in plain language to an autonomous coding agent.
arxiv:2604.17110 v2 · 2026-04-18 · cs.CV
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\usepackage{pith}
\pithnumber{F6RAAPHOTJGTVLKAEY4K6Q4ISI}
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Record completeness
Claims
autonomous coding agents may help shift clinical AI development toward a more clinician-driven paradigm, reducing the communication overhead and dependence on specialized AI developers.
That the autonomous coding agent can reliably translate ambiguous or high-level clinician intent into correct, high-performing model code and training procedures without introducing critical errors or hidden biases.
An autonomous coding-agent framework allows clinicians to independently develop clinical AI models via natural language, achieving promising results on lesion classification, fracture detection, and debiased pneumothorax tasks.
Receipt and verification
| First computed | 2026-05-28T01:04:40.326571Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2fa2003cee9a4d3aad402638af4388921d67781e54553ae86e10c9b54fdfac35
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F6RAAPHOTJGTVLKAEY4K6Q4ISI \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 2fa2003cee9a4d3aad402638af4388921d67781e54553ae86e10c9b54fdfac35
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-04-18T18:56:43Z",
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"kind": "arxiv",
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