Michael F. Chiang
American pediatric ophthalmologist
Facts
7 properties- Instance of
- human
- Country of citizenship
- United States[4]
- Occupation
- ophthalmologist, pediatrician, researcher
- Employer
- Oregon Health and Science University (2010–present)[5]
🏷️ Also known as
en M. Chiang
en Michael Chiang
en Michael F Chiang
en Michael F. Chiang
🔖 Identifiers · 10
- ORCID iD
- 0000-0002-8172-7636
- VIAF cluster ID
- 20164600092437670365
- Library of Congress Authorities ID
- n2022180580
- Image (Wikimedia Commons)
- Michael F. Chiang, M.D., Director, National Eye Institute, NIH (50646205476).jpg ↗
- Google Knowledge Graph ID
- /g/11h4q4xd2y
- Google Scholar author ID
- BX_s0WgAAAAJ
- Instagram username
- michaelfchiang
- Scopus author ID
- 57.7B (7.1B–57.7B, n=3)
- Semantic Scholar author ID
- 1764601
- Threads username
- michaelfchiang
🔗 Connections
Author of 41
A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity,
Analysis of Total Time Requirements of Electronic Health Record Use by Ophthalmologists Using Secondary EHR Data.,
Application of Machine Learning to Predict Patient No-Shows in an Academic Pediatric Ophthalmology Clinic.,
Artificial Intelligence for Glaucoma,
Artificial Intelligence for Retinopathy of Prematurity,
A Severity Score for Retinopathy of Prematurity,
Association of Biomarker-Based Artificial Intelligence With Risk of Racial Bias in Retinal Images,
Automated and Computer-Assisted Detection, Classification, and Diagnosis of Diabetic Retinopathy
+33 more
← Authored by 41
A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity,
Analysis of Total Time Requirements of Electronic Health Record Use by Ophthalmologists Using Secondary EHR Data.,
Application of Machine Learning to Predict Patient No-Shows in an Academic Pediatric Ophthalmology Clinic.,
Artificial Intelligence for Glaucoma,
Artificial Intelligence for Retinopathy of Prematurity,
A Severity Score for Retinopathy of Prematurity,
Association of Biomarker-Based Artificial Intelligence With Risk of Racial Bias in Retinal Images,
Automated and Computer-Assisted Detection, Classification, and Diagnosis of Diabetic Retinopathy
+33 more
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