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This paper is in the following e-collection/theme issue:

Wearables and MHealth Reviews (325) Autism Spectrum Disorder (ASD) (151) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (433) mHealth for Screening (309) Digital Biomarkers and Digital Phenotyping (327) mHealth for Diagnosis (85)

Published on in Vol 11 (2023)

This is a member publication of University College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52377, first published .
App Characteristics and Accuracy Metrics of Available Digital Biomarkers for Autism: Scoping Review

App Characteristics and Accuracy Metrics of Available Digital Biomarkers for Autism: Scoping Review

App Characteristics and Accuracy Metrics of Available Digital Biomarkers for Autism: Scoping Review

Authors of this article:

Sonia Ponzo1, 2 Author Orcid Image ;   Merle May1 Author Orcid Image ;   Miren Tamayo-Elizalde1 Author Orcid Image ;   Kerri Bailey1 Author Orcid Image ;   Alanna J Shand1, 3 Author Orcid Image ;   Ryan Bamford1 Author Orcid Image ;   Jan Multmeier1 Author Orcid Image ;   Ivan Griessel1 Author Orcid Image ;   Benedek Szulyovszky1 Author Orcid Image ;   William Blakey1, 4 Author Orcid Image ;   Sophie Valentine1 Author Orcid Image ;   David Plans1, 5 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

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  2. Pliska L, Neitzel I, Buschermöhle M, Kunina-Habenicht O, Ritterfeld U. Digital screening of children with ASD: diagnostic accuracy of emotion recognition and visual preference tasks. BMC Psychiatry 2025;26(1) View
  3. Sheth S, Lemoniatis E, Ejaz T, Kennedy E, Charalambous G. Effectiveness and Usability of Artificial Intelligence and/or Machine Learning Enabled Wrist and Ankle Wearables for Physiological and Behavioral Monitoring in Children and Adolescents With Autism Spectrum Disorder: A Systematic Review. Journal of Autism and Developmental Disorders 2026 View
  4. O’Sullivan J, Garces P, Aponte E, Tillmann J, Chatham C, Lipsmeier F, Nobbs D. Using generative AI for the objective assessment of language in healthcare. Scientific Reports 2025;15(1) View
  5. Gouveia F, Germann J, Ibrahim G. Brain network alterations in fragile X syndrome. Neuroscience & Biobehavioral Reviews 2025;172:106101 View
  6. Turna M, Eckert J, Meier-Böke K, Narava M, Chaliani I, Eickhoff S, Schilbach L, Dukart J. Real world evidence for altered communication patterns in individuals with autism spectrum disorder. npj Digital Medicine 2025;8(1) View
  7. Gultig K, Boele C, Roggeveen L, Soong T, Sherry S, Jung C, Milosevska S, Uvarov A, Benhassan K, BenAli S, Ahajoui Y, Carpio‐Arias V, Lindeman S, Koekkoek S, Sefik E, Ottenhoff M, Wang S, De Zeeuw C, El Idrissi A, Boele H. Neurobehavioral Assessment of Sensorimotor Function in Autism Using Smartphone Technology. Autism Research 2026;19(2) View
  8. Monarca I, Cibrian F, Hurtado I, Tentori M. Smartphone Haptics Can Uncover Differences in Touch Interactions Between ASD and Neurotypicals. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(4):1 View
  9. Choudari K, Singh S, R S, Somvanshi P. Artificial intelligence and enabled technologies for neurological disorders: a narrative review and critical analysis. Intelligent Medicine 2025 View
  10. Cortese S, Bellato A, Gabellone A, Marzulli L, Matera E, Parlatini V, Petruzzelli M, Persico A, Delorme R, Fusar-Poli P, Gosling C, Solmi M, Margari L. Latest clinical frontiers related to autism diagnostic strategies. Cell Reports Medicine 2025;6(2):101916 View