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An AI-driven multimodal developmental disability detection and intervention framework using enhanced speech and behavioral analysis with BioNeuroFusionNet classification

Crossref DOI link: https://doi.org/10.1186/s40537-026-01367-y

Published Online: 2026-02-28

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Al-Shqeerat, Khalil Hamdi Ateyeh

AL Abadleh, Ahmad Hamed

Dutta, Ashit Kumar

Tejani, Ghanshyam G.

Sharma, Sunil Kumar

Mousavirad, Seyed Jalaleddin
Funding

Funding for this research was provided by:

Mid Sweden University
License Information

Text and Data Mining valid from 2026-02-28

Version of Record valid from 2026-03-04
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Article History

Received: 25 April 2025

Accepted: 11 January 2026

First Online: 28 February 2026

Change Date: 19 March 2026

Change Type: Update

Change Details: The funding note was updated.

Declarations

:

: The authors declare no competing interests.

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