AI-supported early autism identification as public health infrastructure: economic implications for the United States using a scenario-based economic model.

Banerjee T, Nayak A

Open source

DOI
10.3389/fpubh.2026.1886106
Published
2026
Container
Frontiers in public health
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/fpubh.2026.1886106,
  title = {AI-supported early autism identification as public health infrastructure: economic implications for the United States using a scenario-based economic model.},
  author = {Banerjee T and Nayak A},
  year = {2026},
  journal = {Frontiers in public health},
  doi = {10.3389/fpubh.2026.1886106},
  url = {https://doi.org/10.3389/fpubh.2026.1886106}
}

RIS

TY  - JOUR
TI  - AI-supported early autism identification as public health infrastructure: economic implications for the United States using a scenario-based economic model.
AU  - Banerjee T
AU  - Nayak A
PY  - 2026
JO  - Frontiers in public health
DO  - 10.3389/fpubh.2026.1886106
UR  - https://doi.org/10.3389/fpubh.2026.1886106
ER  - 

APA

T, B., & A, N. (2026). AI-supported early autism identification as public health infrastructure: economic implications for the United States using a scenario-based economic model.. Frontiers in public health. https://doi.org/10.3389/fpubh.2026.1886106

Source records