Pith Number

pith:IMNJUJD2

pith:2026:IMNJUJD2DH3Q26D4XAP7OG2YV2

not attested not anchored not stored refs resolved

RISED: A Pre-Deployment Safety Evaluation Framework for Clinical AI Decision-Support Systems

Rohith Reddy Bellibatlu

Clinical AI models that pass standard accuracy tests can fail on input stability and threshold sensitivity.

arxiv:2605.12895 v1 · 2026-05-13 · cs.LG · cs.AI · cs.CY · stat.AP

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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

A classifier satisfying conventional high-discrimination benchmarks can simultaneously fail input-encoding stability and threshold-shift sensitivity checks, while subgroup AUC parity remains statistically inconclusive, pointing to deployment risks that aggregate evaluation alone cannot detect.

C2weakest assumption

That the five chosen dimensions and their operationalized sub-criteria with pre-specified thresholds adequately capture the primary pre-deployment risks for clinical AI systems across diverse datasets and use cases.

C3one line summary

RISED is a structured pre-deployment safety framework that flags failures in clinical AI systems across reliability, inclusivity, sensitivity, equity, and deployability using pre-specified criteria and statistical corrections, even when aggregate accuracy looks strong.

References

105 extracted · 105 resolved · 0 Pith anchors

[1] and Torkamani, Ali and Dias, Raquel and Gianfrancesco, Milena and Arnaout, Rima and Kohane, Isaac S

[2] and Porras, Antonio R

[3] and Calvert, Melanie J

[4] and Denniston, Alastair K

[5] Journal of the American Statistical Association , year =

Receipt and verification

First computed	2026-05-18T03:09:10.861765Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

431a9a247a19f70d787cb81ff71b58aea165c38cb2824b9df4913ffc631cf61e

Aliases

arxiv: 2605.12895 · arxiv_version: 2605.12895v1 · doi: 10.48550/arxiv.2605.12895 · pith_short_12: IMNJUJD2DH3Q · pith_short_16: IMNJUJD2DH3Q26D4 · pith_short_8: IMNJUJD2

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/IMNJUJD2DH3Q26D4XAP7OG2YV2 \
  | 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: 431a9a247a19f70d787cb81ff71b58aea165c38cb2824b9df4913ffc631cf61e

Canonical record JSON

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    "cross_cats_sorted": [
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      "stat.AP"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-13T02:17:13Z",
    "title_canon_sha256": "01eb52e45017d5f010feb471d12fc689fb86138f1eb20fde6c547827f7fb6972"
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  "source": {
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    "kind": "arxiv",
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