Paper Digest
🟢 This week — 2026-05-04
9 new papers in Tiers A–F → · top theme: Imaging & WSS measurement
Weekly roundup of cardiovascular CFD, hemodynamics, and AI modelling (PINN · neural operators · surrogates · digital twins). Auto-curated from OpenAlex + arXiv, classified by Claude into six tiers (A = boundary conditions, B = turbulence, C = V&V/UQ, D = physiology, E = imaging/WSS, F = AI/ML).
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Archive
- 2026-05-04 — 9 papers · Imaging & WSS measurement
- 2026-04-27 — 5 papers · Imaging & WSS measurement
- 2026-04-20 — 2 papers · Turbulence modelling (RANS, LES, DNS)
- 2026-03-20 — 26 papers · Imaging & WSS measurement
Methodology
- Sources: OpenAlex (peer-reviewed) + arXiv (preprints), filtered to the last 7 days with cardiovascular + CFD + AI keywords.
- Keyword filter: each paper must match at least one context term (aorta, hemodynamics, WSS, …) and one method term (CFD, LES, PINN, digital twin, …) in its title or abstract.
- Classifier: Claude Haiku 4.5 scores relevance (0–1), assigns one of six tiers (A–F), and writes a 2-sentence summary plus a one-sentence why it matters note.
- RAG enrichment:
- Overlap flag — DOI match against the 108-paper bibliography (
aortacfd_corpus.json). - Related reading — BM25 search of the new abstract against 1,466 indexed units (57 full-text papers + abstract-only entries for the rest) in
BibCorpusStore.
- Overlap flag — DOI match against the 108-paper bibliography (
- Relevance threshold: 0.5. Below that, a paper is classified but dropped from the digest.
- Published: every Monday at 09:00 UTC. Source code and Action in
aortacfd-agent/paper_digest.
The six tiers
| Tier | Focus |
|---|---|
| A | Boundary conditions — inlet/outlet BCs, Windkessel, lumped parameter, fluid-structure coupling |
| B | Turbulence & LES — RANS, DES, LES, DNS applied to cardiovascular flows |
| C | V&V and UQ — grid convergence, uncertainty quantification, sensitivity analysis |
| D | Physiology & scaling — Murray's law, Windkessel theory, biomechanics |
| E | Imaging & WSS — 4D flow MRI, Doppler echo, WSS measurement techniques |
| F | AI, ML & digital-twin pipelines — PINN, neural operators, GNN surrogates, diffusion/transformer/foundation models, AI segmentation |
Scope and limitations
Be aware of the trade-offs baked into this digest:
- Abstract-only summaries. Claude reads title + abstract, not the full PDF. Summaries describe what a paper claims; they do not replace reading the methods and figures.
- Research papers only. The feed does not surface industry announcements (Siemens, Dassault, ANSYS, Philips product blogs), non-indexed conference talks, GitHub releases of open-source CFD/ML code, or social-media discussion (Twitter/X, LinkedIn).
- Anglophone bias. OpenAlex and arXiv both skew toward English-language work.
For deeper analysis of a single paper, a direct chat with Claude (with the full PDF) will always go further than this digest. For industry and tooling news, follow vendor blogs and GitHub trending directly.
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