Pith Number

pith:CS4AFHDA

pith:2026:CS4AFHDAKBCTBWKDDA6J2DKMTL

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AI-PACE: A Framework for Integrating AI into Medical Education

Haibo Wang, Karnjit Johl, Katherine K. Kim, Nick Anderson, Scott P. McGrath

Medical education must integrate AI training longitudinally across the full curriculum with interdisciplinary collaboration and a balance of technical and clinical content.

arxiv:2602.10527 v2 · 2026-02-11 · cs.CY · cs.AI

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\usepackage{pith}
\pithnumber{CS4AFHDAKBCTBWKDDA6J2DKMTL}

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Record completeness

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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

The findings presented suggest that effective AI education requires longitudinal integration throughout medical training, interdisciplinary collaboration, and balanced attention to both technical fundamentals and clinical applications.

C2weakest assumption

That a literature synthesis alone is sufficient to define a workable curriculum framework without empirical validation or testing of the proposed AI-PACE approach in actual medical education settings.

C3one line summary

AI-PACE framework calls for longitudinal AI education across medical training with balanced technical and clinical focus plus interdisciplinary collaboration.

Receipt and verification

First computed	2026-05-26T01:02:32.182142Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

14b8029c60504530d943183c9d0d4c9af41efcc5520731e7a85b55282857a1b7

Aliases

arxiv: 2602.10527 · arxiv_version: 2602.10527v2 · doi: 10.48550/arxiv.2602.10527 · pith_short_12: CS4AFHDAKBCT · pith_short_16: CS4AFHDAKBCTBWKD · pith_short_8: CS4AFHDA

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/CS4AFHDAKBCTBWKDDA6J2DKMTL \
  | 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: 14b8029c60504530d943183c9d0d4c9af41efcc5520731e7a85b55282857a1b7

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "6ac8d204d30dc5b2c15da23be4630811b53889784285bb8b8ccbe34ec1c8bc55",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2026-02-11T04:52:26Z",
    "title_canon_sha256": "3f4ab80381032b298fe95d6def1a2196687092e64730493c9318c489d808abe7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2602.10527",
    "kind": "arxiv",
    "version": 2
  }
}