Ophthalmology 21

Artificial intelligence in ophthalmology

From October 2019, we are running the Diabetic Retinopathy Prevention Programme using artificial intelligence in the Wielkopolska region. This is the largest project of its kind in Europe.

Articles on artificial intelligence

Grzybowski A., Brona P. A pilot study of autonomous artificial intelligence-based diabetic retinopathy screening in Poland. Acta Ophthalmologica 2019 doi: 10.1111/aos.14132

Grzybowski A., Brona P., Lim G., Ruamviboonsuk P., Tan G.S.W., Abramoff M., Ting D.S.W. Artificial intelligence for diabetic retinopathy screening: a review. Eye 2019 doi: 10.1038/s41433-019-0566-0

Yip M., Lim G., Lim Z.W., Nguyen Q., Chong C.C.Y., Yu M., Bellemo V., Xie Y., Lee X.Q., Hamzah H., Ho J., Tan T., Sabanayagam Ch., Grzybowski A., Tan G.S.W., Hsu W., Lee M.L. Wong T.Y., Ting D.S.W.. Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy. npj Digital Medicine 2020 doi: 10.1038/s41746-020-0247-1

Wanichwecharungruang B.; Kaothanthong N., Pattanapongpaiboon W.; Chantangphol P.; Seresirikachorn K.; Srisuwanporn Ch.; Parivisutt N.; Grzybowski A.; Theeramunkong T.; Ruamviboonsuk P. Deep Learning for Anterior Segment Optical Coherence Tomography to Predict the Presence of Plateau Iris. Translational Vision Science & Technology January 2021 doi: 10.1167/tvst.10.1.7

Grzybowski A, Brona P. Analysis and Comparison of Two Artificial Intelligence Diabetic Retinopathy Screening Algorithms in a Pilot Study: IDx-DR and Retinalyze. J Clin Med. 2021 May 27;10(11):2352, https://doi.org/10.3390/jcm10112352

Pieczyński J. Kuklo P. Grzybowski A. The Role of Telemedicine, In-Home Testing and Artificial Intelligence to Alleviate an Increasingly Burdened Healthcare System: Diabetic Retinopathy. Ophthalmology Therapy 2021, doi: 10.1007/s40123-021-00353-2

Artificial Intelligence in Ophthalmology

The book provides a comprehensive overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. It presents applications of AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. Ophthalmologists, optometrists, neurologists, cardiologists, internists, artificial intelligence engineers and computer scientists interested in how artificial intelligence can help in the early diagnosis and treatment monitoring of ophthalmic patients may find this book an indispensable guide to the evolving field of healthcare technology.