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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1065) Artificial Intelligence (711) Imaging Informatics (150) Mobile Health (mhealth) (2007) Tools, Programs and Algorithms (187) New Methods (689)

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 Chen 1, 2 Author Orcid Image ;   Shin-Shi Tzeng 1, 2 Author Orcid Image ;   Yen-Chang Hsiao 1, 2 Author Orcid Image ;   Ruei-Feng Chen 3 Author Orcid Image ;   Erh-Chien Hung 1, 2 Author Orcid Image ;   Oscar K Lee 4, 5 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Journals

  1. Bao X, Sun Y, Zhan X, Li G. Orbital and eyelid diseases: The next breakthrough in artificial intelligence?. Frontiers in Cell and Developmental Biology 2022;10 View
  2. Xu J, Yan Z, Liu Q. Smartphone-Based Electrochemical Systems for Glucose Monitoring in Biofluids: A Review. Sensors 2022;22(15):5670 View
  3. Chen K, Yang C, Wang H, Ma H, Lee O. Artificial Intelligence–Assisted Diagnosis of Anterior Cruciate Ligament Tears From Magnetic Resonance Images: Algorithm Development and Validation Study. JMIR AI 2022;1(1):e37508 View
  4. Hui S, Dong L, Zhang K, Nie Z, Jiang X, Li H, Hou Z, Ding J, Wang Y, Li D. Noninvasive identification of Benign and malignant eyelid tumors using clinical images via deep learning system. Journal of Big Data 2022;9(1) View
  5. Yang Y, Xu F, Chen J, Tao C, Li Y, Chen Q, Tang S, Lee H, Shen W. Artificial intelligence-assisted smartphone-based sensing for bioanalytical applications: A review. Biosensors and Bioelectronics 2023;229:115233 View