AI-driven approaches for dysgraphia diagnosis using online and offline handwriting data: A comprehensive scoping review.
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| Title: | AI-driven approaches for dysgraphia diagnosis using online and offline handwriting data: A comprehensive scoping review. |
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| Authors: | Fallah A; School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran., ZandiyeVakili Y; School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran., Sajedi H; School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran. |
| Source: | PloS one [PLoS One] 2025 Dec 31; Vol. 20 (12), pp. e0328722. Date of Electronic Publication: 2025 Dec 31 (Print Publication: 2025). |
| Publication Type: | Journal Article; Scoping Review |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0328722 |
