Understanding end-user contexts and identifying design preferences of an artificial intelligence-based clinical decision support tool for early autism detection

Adesuwa Emovon, Lauren Driggers-Jones, Matthew Engelhard, Gary Maslow, Geraldine Dawson, Benjamin A Goldstein, Lauren Franz

Open source

DOI: 10.1093/jamiaopen/ooag145
Published: 2026-07-07
Container: JAMIA Open
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/jamiaopen/ooag145,
  title = {Understanding end-user contexts and identifying design preferences of an artificial intelligence-based clinical decision support tool for early autism detection},
  author = {Adesuwa Emovon and Lauren Driggers-Jones and Matthew Engelhard and Gary Maslow and Geraldine Dawson and Benjamin A Goldstein and Lauren Franz},
  year = {2026},
  journal = {JAMIA Open},
  doi = {10.1093/jamiaopen/ooag145},
  url = {https://doi.org/10.1093/jamiaopen/ooag145}
}

RIS

TY  - JOUR
TI  - Understanding end-user contexts and identifying design preferences of an artificial intelligence-based clinical decision support tool for early autism detection
AU  - Adesuwa Emovon
AU  - Lauren Driggers-Jones
AU  - Matthew Engelhard
AU  - Gary Maslow
AU  - Geraldine Dawson
AU  - Benjamin A Goldstein
AU  - Lauren Franz
PY  - 2026
JO  - JAMIA Open
DO  - 10.1093/jamiaopen/ooag145
UR  - https://doi.org/10.1093/jamiaopen/ooag145
ER  -

APA

Emovon, A., Driggers-Jones, L., Engelhard, M., Maslow, G., Dawson, G., Goldstein, B. A., & Franz, L. (2026). Understanding end-user contexts and identifying design preferences of an artificial intelligence-based clinical decision support tool for early autism detection. JAMIA Open. https://doi.org/10.1093/jamiaopen/ooag145

Source records

crossref · retrieved 2026-09-26T14:51:02.169Z