pith:K4U2ZSUG
People-Centred Medical Image Analysis via Fairness-Aware Human-AI Cooperation
PecMan uses a dynamic gating mechanism to jointly optimize fairness, accuracy, and clinician workload in medical image analysis.
arxiv:2604.26991 v2 · 2026-04-28 · cs.LG · cs.AI
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\usepackage{pith}
\pithnumber{K4U2ZSUGSLSOVWD5Z336HMN2JY}
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Record completeness
Claims
Experiments using this benchmark show that PecMan consistently outperforms existing methods, paving the way for more trustworthy and clinically viable AI systems.
That real clinical environments have restricted clinician availability that can be accurately modeled as a dynamic constraint without introducing new practical barriers or unmodeled workflow disruptions.
PecMan is a human-AI framework that jointly optimizes fairness, diagnostic accuracy, and workflow effectiveness in medical image analysis under clinician workload constraints, outperforming prior methods on the new FairHAI benchmark.
Receipt and verification
| First computed | 2026-06-10T01:10:02.361535Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5729acca8692e4ead87dcef7e3b1ba4e34e883cded8dff7bc9512012e04610a9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K4U2ZSUGSLSOVWD5Z336HMN2JY \
| 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: 5729acca8692e4ead87dcef7e3b1ba4e34e883cded8dff7bc9512012e04610a9
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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