Hyejun Kim, Yejun Son, Hojae Lee, Jiseung Kang, Ahmed Hammoodi, Yujin Choi, Hyeon Jin Kim, Hayeon Lee, Guillaume Fond, Laurent Boyer, Rosie Kwon, Selin Woo, Dong Keon Yon
Machine Learning-Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study
Journal of medical Internet research
generative ai revolutionized medicine past several years generative adversarial network gan deep learning framework become powerful technique medicine particularly ophthalmology image analysis paper review current ophthalmic literature involving gans highlight key contributions field briefly touch chatgpt another application generative ai potential ophthalmology also explore potential uses gans ocular imaging specific emphasis 3 primary domains image enhancement disease identification generating synthetic data pubmed ovid medline google scholar searched inception october 30 2022 identify applications gan ophthalmology total 40 papers included review cover various applications gans ophthalmicrelated imaging including optical coherence tomography orbital magnetic resonance imaging fundus photography ultrasound however also highlight several challenges resulted generation inaccurate atypical results certain iterations finally examine future directions considerations generative ai ophthalmology