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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1520) Artificial Intelligence (1628) Imaging Informatics (217) Mobile Health (mhealth) (3101) Tools, Programs and Algorithms (309) New Methods (1010)

Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32444, first published .
Smartphone-Based Artificial Intelligence–Assisted Prediction for Eyelid Measurements: Algorithm Development and Observational Validation Study

Smartphone-Based Artificial Intelligence–Assisted Prediction for Eyelid Measurements: Algorithm Development and Observational Validation Study

Smartphone-Based Artificial Intelligence–Assisted Prediction for Eyelid Measurements: Algorithm Development and Observational Validation Study

Authors of this article:

Hung-Chang Chen1, 2 Author Orcid Image ;   Shin-Shi Tzeng1, 2 Author Orcid Image ;   Yen-Chang Hsiao1, 2 Author Orcid Image ;   Ruei-Feng Chen3 Author Orcid Image ;   Erh-Chien Hung1, 2 Author Orcid Image ;   Oscar K Lee4, 5 Author Orcid Image
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New in JMIR mhealth: Smartphone-Based artificial intelligence (#AI)–Assisted Prediction for Eyelid Measurements: Al… https://t.co/0vxwhg3vqJ

2:32 PM · Oct 08, 2021

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RT @jmirpub: New in JMIR mhealth: Smartphone-Based artificial intelligence (#AI)–Assisted Prediction for Eyelid Measurements: Algorithm Dev…

2:32 PM · Oct 08, 2021

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JMIR mHealth and uHealth JMIR mHealth and uHealth @JMIR_mHealth

RT @jmirpub: New in JMIR mhealth: Smartphone-Based artificial intelligence (#AI)–Assisted Prediction for Eyelid Measurements: Algorithm Dev…

2:32 PM · Oct 08, 2021

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