Lin, Haotian

Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective

Li, J.-P. O., Liu, H., Ting, D. S. J., Jeon, S., Chan, R. V. P., Kim, J. E., Sim, D. A., Thomas, P. B. M., Lin, H., Chen, Y., et al. (2021) · Progress in Retinal and Eye Research

Ophthalmology and Visual Health ResearchRetinal Imaging and Analysis

Cited by 626

Prevalence of depression and depressive symptoms among outpatients: a systematic review and meta-analysis

Wang, J., Wu, X., Lai, W., Long, E., Zhang, X., Li, W., Zhu, Y., Chen, C., Zhong, X., Liu, Z., et al. (2017) · BMJ Open

Mental Health Treatment and AccessAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 486

An artificial intelligence platform for the multihospital collaborative management of congenital cataracts

Long, E., Lin, H., Liu, Z., Wu, X., Wang, L., Jiang, J., An, Y., Lin, Z., Li, X., Chen, J., et al. (2017) · Nature Biomedical Engineering

Artificial Intelligence in Healthcare and EducationOphthalmology and Visual Health Research

Cited by 358

Diagnostic efficacy and therapeutic decision-making capacity of an artificial intelligence platform for childhood cataracts in eye clinics: a multicentre randomized controlled trial

Lin, H., Li, R., Liu, Z., Chen, J., Yang, Y., Chen, H., Lin, Z., Lai, W., Long, E., Wu, X., et al. (2019) · EClinicalMedicine

Artificial Intelligence in Healthcare and EducationIntraocular Surgery and Lenses

Cited by 199

Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study

Ye, T., Xue, J., He, M., Gu, J., Lin, H., Xu, B., & Cheng, Y. (2019) · Journal of Medical Internet Research

Technology Adoption and User BehaviourArtificial Intelligence in Healthcare and Education

Cited by 141

Implementation of artificial intelligence in medicine: status analysis and development suggestions

Xiang, Y., Zhao, L., Liu, Z., Wu, X., Chen, J., Long, E., Lin, D., Zhu, Y., Chen, C., Lin, Z., et al. (2020) · Artificial Intelligence in Medicine

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 100

Development and Evaluation of a Retrieval-Augmented Large Language Model Framework for Ophthalmology

Luo, M.-J., Pang, J., Bi, S., Lai, Y., Zhao, J., Shang, Y., Cui, T., Yang, Y., Lin, Z., Zhao, L., et al. (2024) · JAMA Ophthalmology

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 70

Artificial intelligence-tutoring problem-based learning in ophthalmology clerkship

Wu, D., Xiang, Y., Wu, X., Yu, T., Huang, X., Zou, Y., Liu, Z., & Lin, H. (2020) · Annals of Translational Medicine

Artificial Intelligence in Healthcare and EducationProblem and Project Based Learning

Cited by 51

A large language model digital patient system enhances ophthalmology history taking skills

Luo, M.-J., Bi, S., Pang, J., Liu, L., Tsui, C.-K., Lai, Y., Chen, W., Yang, Y., Xu, K., Zhao, L., et al. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationOphthalmology and Visual Health Research

Cited by 39

Real-World Prospective Validation and Economic Evaluation of Deep Learning– Based Diabetic Retinopathy Detection From Fundus Photographs: A Systematic Review and Meta-analysis

Ran, A. R., Ding, J. L., Tang, Z., Lam, C., Nguyen, T. X., Zhou, J., Zhang, S., Fang, D., Yang, D., Ng, V., et al. (2026) · Diabetes Care

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 7