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

Artificial Intelligence (1779) New Methods (1036) Neurology and Neurosciences (234) Computer-Aided Diagnosis (188) Machine Learning (1770) Digital Health, Telehealth and e-Innovation in Clinical Settings (486) Development of Novel Medical Devices and Innovations for Existing Devices (89) Methodological Innovations (30)

Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29554, first published .
A Markerless 2D Video, Facial Feature Recognition–Based, Artificial Intelligence Model to Assist With Screening for Parkinson Disease: Development and Usability Study

A Markerless 2D Video, Facial Feature Recognition–Based, Artificial Intelligence Model to Assist With Screening for Parkinson Disease: Development and Usability Study

A Markerless 2D Video, Facial Feature Recognition–Based, Artificial Intelligence Model to Assist With Screening for Parkinson Disease: Development and Usability Study

Authors of this article:

Xinyao Hou1 Author Orcid Image ;   Yu Zhang2 Author Orcid Image ;   Yanping Wang3 Author Orcid Image ;   Xinyi Wang4 Author Orcid Image ;   Jiahao Zhao2 Author Orcid Image ;   Xiaobo Zhu2 Author Orcid Image ;   Jianbo Su1 Author Orcid Image
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New in JMIR: A Markerless 2D Video, Facial Feature Recognition–Based, artificial intelligence (#AI) Model to Assist… https://t.co/I5kDpwtJso

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RT @jmirpub: New in JMIR: A Markerless 2D Video, Facial Feature Recognition–Based, artificial intelligence (#AI) Model to Assist With Scree…

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RT @jmirpub: New in JMIR: A Markerless 2D Video, Facial Feature Recognition–Based, artificial intelligence (#AI) Model to Assist With Scree…

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RT @jmirpub: New in JMIR: A Markerless 2D Video, Facial Feature Recognition–Based, artificial intelligence (#AI) Model to Assist With Scree…

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Tom Bellis Tom Bellis @tommybellis

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