pith:DFFIPBNB
MultiSense-Pneumo: A Multimodal Learning Framework for Pneumonia Screening in Resource-Constrained Settings
The paper describes MultiSense-Pneumo, an offline-capable multimodal framework that fuses symptom triage, audio classification, speech recognition, and radiograph analysis for pneumonia screening in low-resource settings.
arxiv:2605.02207 v2 · 2026-05-04 · cs.CV · cs.AI · cs.LG
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\usepackage{pith}
\pithnumber{DFFIPBNBAKZCVRC336F7HUAPKK}
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Record completeness
Claims
MultiSense-Pneumo is a multimodal framework for pneumonia oriented screening and triage support that integrates structured symptom descriptors, cough audio, spoken language, and chest radiographs and can operate fully offline on standard laptop class hardware.
That the normalized risk signals from each modality can be meaningfully aggregated into a unified screening estimate that improves triage decisions in real resource-constrained environments, an assumption stated in the abstract but without supporting performance data or validation studies.
The paper describes MultiSense-Pneumo, an offline-capable multimodal framework that fuses symptom triage, audio classification, speech recognition, and radiograph analysis for pneumonia screening in low-resource settings.
Formal links
Receipt and verification
| First computed | 2026-05-27T01:04:58.650389Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
194a8785a102b22ac45bdf8bf3d00f52894c38174ddd4fd1119012ceddfc56aa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DFFIPBNBAKZCVRC336F7HUAPKK \
| 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: 194a8785a102b22ac45bdf8bf3d00f52894c38174ddd4fd1119012ceddfc56aa
Canonical record JSON
{
"metadata": {
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"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-04T04:14:35Z",
"title_canon_sha256": "1be4c244be69b5e4e87fc82070240a7101cb69c08e5a4b49c1ae381136eff99d"
},
"schema_version": "1.0",
"source": {
"id": "2605.02207",
"kind": "arxiv",
"version": 2
}
}