Leveraging AI-powered Sentiment Analysis for Enhancing Risk Communication in Radiological Emergencies

Todd Smith, Angela Leek

Open source

DOI: 10.1097/hp.0000000000002155
Published: 2026-10-22
Container: Health Physics
Publisher: Ovid Technologies (Wolters Kluwer Health)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1097/hp.0000000000002155,
  title = {Leveraging AI-powered Sentiment Analysis for Enhancing Risk Communication in Radiological Emergencies},
  author = {Todd Smith and Angela Leek},
  year = {2026},
  journal = {Health Physics},
  doi = {10.1097/hp.0000000000002155},
  url = {https://doi.org/10.1097/hp.0000000000002155}
}

RIS

TY  - JOUR
TI  - Leveraging AI-powered Sentiment Analysis for Enhancing Risk Communication in Radiological Emergencies
AU  - Todd Smith
AU  - Angela Leek
PY  - 2026
JO  - Health Physics
DO  - 10.1097/hp.0000000000002155
UR  - https://doi.org/10.1097/hp.0000000000002155
ER  -

APA

Smith, T., & Leek, A. (2026). Leveraging AI-powered Sentiment Analysis for Enhancing Risk Communication in Radiological Emergencies. Health Physics. https://doi.org/10.1097/hp.0000000000002155

Source records

crossref · retrieved 2026-11-08T12:25:42.207Z