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Pith Number

pith:K4U2ZSUG

pith:2026:K4U2ZSUGSLSOVWD5Z336HMN2JY
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People-Centred Medical Image Analysis via Fairness-Aware Human-AI Cooperation

Cuong Nguyen, David Rosewarne, Gustavo Carneiro, Kevin Wells, Milad Masroor, Tahir Hassan, Thanh-Toan Do, Yuanhong Chen, Zheng Zhang

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

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Experiments using this benchmark show that PecMan consistently outperforms existing methods, paving the way for more trustworthy and clinically viable AI systems.

C2weakest assumption

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.

C3one line summary

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

arxiv: 2604.26991 · arxiv_version: 2604.26991v2 · doi: 10.48550/arxiv.2604.26991 · pith_short_12: K4U2ZSUGSLSO · pith_short_16: K4U2ZSUGSLSOVWD5 · pith_short_8: K4U2ZSUG
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
{
  "metadata": {
    "abstract_canon_sha256": "8e4365f0a69af8e3f0dadcb337416fec13542606eaf7ffde100046b0605b00ef",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-04-28T22:13:36Z",
    "title_canon_sha256": "f41e69946159dad683f1feb073d41c9653b1aa1058c7ad5d208496f635dc7b82"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.26991",
    "kind": "arxiv",
    "version": 2
  }
}