Chiang, Michael F.

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

Brown, J. M., Campbell, J. P., Beers, A., Chang, K., Ostmo, S., Chan, R. V. P., Dy, J., Erdogmus, D., Ioannidis, S., Kalpathy-Cramer, J., et al. (2018) · JAMA Ophthalmology

Retinal Imaging and AnalysisRetinopathy of Prematurity Studies

Cited by 657

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

Tejani, A. S., Klontzas, M. E., Gatti, A. A., Mongan, J. T., Moy, L., Park, S. H., Kahn, C. E., Panel, F. T. C. 2. U., Abbara, S., Afat, S., et al. (2024) · Radiology: Artificial Intelligence

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 570

Current Challenges and Barriers to Real-World Artificial Intelligence Adoption for the Healthcare System, Provider, and the Patient

Singh, R. P., Hom, G. L., Abramoff, M. D., Campbell, J. P., Chiang, M. F., & on behalf of the AAO Task Force on Artificial Intelligence (2020) · Translational Vision Science & Technology

Artificial Intelligence in Healthcare and EducationRetinal Imaging and Analysis

Cited by 259

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine

Jin, Q., Chen, F., Zhou, Y., Xu, Z., Cheung, J. M., Chen, R., Summers, R. M., Rousseau, J. F., Ni, P., Landsman, M. J., et al. (2024) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 146

Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods

Rule, A., Chiang, M. F., & Hribar, M. R. (2020) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 136

Protecting Data Privacy in the Age of AI-Enabled Ophthalmology

Tom, E., Keane, P. A., Blazes, M., Pasquale, L. R., Chiang, M. F., Lee, A. Y., Lee, C. S., & and AAO Artificial Intelligence Task Force (2020) · Translational Vision Science & Technology

Artificial Intelligence in Healthcare and EducationPrivacy-Preserving Technologies in Data

Cited by 92

Length and redundancy of outpatient progress notes across a decade at an academic medical center

Rule, A., Bedrick, S., Chiang, M. F., & Hribar, M. R. (2021) · JAMA Network Open

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 90

Time requirements for electronic health record use in an academic ophthalmology center

Read-Brown, S., Hribar, M. R., Reznick, L. G., Lombardi, L. H., Parikh, M., Chamberlain, W. D., Bailey, S. T., Wallace, J. B., Yackel, T. R., & Chiang, M. F. (2017) · JAMA Ophthalmology

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 85

Cost-effectiveness of Artificial Intelligence–Based Retinopathy of Prematurity Screening

Morrison, S. L., Dukhovny, D., Chan, R. V. P., Chiang, M. F., & Campbell, J. P. (2022) · JAMA Ophthalmology

Retinopathy of Prematurity StudiesHealth Systems, Economic Evaluations, Quality of Life

Cited by 61

Automated and computer-assisted detection, classification, and diagnosis of diabetic retinopathy

Abràmoff, M. D., Leng, T., Ting, D. S. W., Rhee, K., Horton, M. B., Brady, C. J., & Chiang, M. F. (2020) · Telemedicine and e-Health

Retinal Imaging and AnalysisArtificial Intelligence in Healthcare and Education

Cited by 30

The genetics of retinopathy of prematurity: A model for neovascular retinal disease

Swan, R., Kim, S. J., Campbell, J. P., Chan, R. V. P., Sonmez, K., Taylor, K. D., Li, X., Chen, Y.-D. I., Rotter, J. I., Simmons, C., et al. (2018) · Ophthalmology Retina

Retinopathy of Prematurity StudiesRetinal Development and Disorders

Cited by 30

Changes in electronic health record use time and documentation over the course of a decade

Goldstein, I. H., Hwang, T., Gowrisankaran, S., Bales, R., Chiang, M. F., & Hribar, M. R. (2019) · Ophthalmology

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 23