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A Cross-Sectional Study Assessing the Suitability of ChatGPT and DeepSeek AI for Generating Patient Education Guides on Imaging Modalities in Stroke — Europe PMC PMID:40980783

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/40980783
DOI: 10.7759/cureus.92066
License (as archived): solo-consultazione
Archived: 2026-11-10T00:33:33.981Z
SHA-256 of the archived text: c0e2c5095bf429988fb5ddea5ce564614d9b3ada87e89e7576ffca932ab4418a
Stable URL of this page: https://metraipolis.com/documento/dc_0f58a02dfd04

How to cite

A Cross-Sectional Study Assessing the Suitability of ChatGPT and DeepSeek AI for Generating Patient Education Guides on Imaging Modalities in Stroke — Europe PMC PMID:40980783 — Europe PMC (en), https://europepmc.org/article/MED/40980783 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_0f58a02dfd04 (Metraipolis archive dc_0f58a02dfd04, sha256 c0e2c5095bf429988fb5ddea5ce564614d9b3ada87e89e7576ffca932ab4418a)

BibTeX

@misc{dc0f58a02dfd04,
  title = {A Cross-Sectional Study Assessing the Suitability of ChatGPT and DeepSeek AI for Generating Patient Education Guides on Imaging Modalities in Stroke — Europe PMC PMID:40980783},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/40980783},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_0f58a02dfd04; sha256 c0e2c5095bf429988fb5ddea5ce564614d9b3ada87e89e7576ffca932ab4418a},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/40980783. Agents can read the archived copy with the MCP tool read_document.