In the Abstract, paragraph 3, a specificity value was missing due to a typographical error. This paragraph read as, “A total of 952 neurotypical individuals and 292 unmedicated ADHD patients were part of the study. The best performing model combines all feature groups by a sensitivity of 0.808, specificity of blue and area under the precision-recall curve (PR-AUC) of 0.799, with a considerable performance increase due to the phone sensor features addition. Results did not differ significantly by age group (6–11 and 12–60 years old) and sex.” The corrected paragraph should read as, “A total of 952 neurotypical individuals and 292 unmedicated ADHD patients were part of the study. The best performing model combines all feature groups by a sensitivity of 0.808, specificity of 0.795 and area under the precision-recall curve (PR-AUC) of 0.799, with a considerable performance increase due to the phone sensor features addition. Results did not differ significantly by age group (6–11 and 12–60 years old) and sex.”
The original version of this article has been updated.
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Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
ADHD, machine learning, CPT, smartphone, mobile, motion sensor, face tracking, AI
Citation
Casals N, Larsson S and Hansen M (2026) Correction: Machine learning on a smartphone-based CPT for ADHD prediction. Front. Psychiatry 16:1771553. doi: 10.3389/fpsyt.2025.1771553
Received
19 December 2025
Accepted
23 December 2025
Published
06 January 2026
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
16 - 2025
Updates
Copyright
© 2026 Casals, Larsson and Hansen.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Núria Casals, nuria.casals@qbtech.com; Simon Larsson, simon.larsson@qbtech.com
†These authors have contributed equally to this work
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.