The following is a list of some of the publications that have used and cited the MedicMind AI Platform:<\/p>\n\n\n\n
“Linde, G., Rodrigues de Souza Jr, W., Chalakkal, R., Danesh-Meyer, H. V., O\u2019Keeffe, B., & Chiong Hong, S. (2024). A comparative evaluation of deep learning approaches for ophthalmology. Scientific Reports, 14(1), 21829.”<\/p>\n\n\n\n
“Edward Korot, Zeyu Guan, Daniel Ferraz, Siegfried K. Wagner, Gongyu Zhang, Xiaoxuan Liu, Livia Faes, Nikolas Pontikos, Samuel G. Finlayson, Hagar Khalid, Gabriella Moraes, Konstantinos Balaskas, Alastair K. Denniston & Pearse A. Kean (2021) Code-free deep learning for multi-modality medical image classification. Nature Machine Intelligence volume 3, pages 288\u2013298 “<\/p>\n\n\n\n
“Jason R. Daley, Xingdi Wang, Natalie Ngo, Chee L. Khoo, Peter Heydon, Gerald Liew, Vallimayil Vallayutham, Tobias Kongbrailatpam, Uchechukwu L. Osuagwu, Marko Andric, Wei Xuan, (2025) Development and Validation of a Deep Learning System for the Provision of a District-Wide Diabetes Retinal Screening Service . Clinical & Experimental Ophthalmology<\/em> 2025″<\/p>\n\n\n\n “Glenn Linde , Renoh Chalakkal , Lydia Zhou , Joanna Lou Huang , Ben O\u2019Keeffe , Dhaivat Shah , Scott Davidson and Sheng Chiong Hong (2023) Automatic Refractive Error Estimation Using Deep Learning-Based Analysis of Red Reflex Images . Diagnostics 2023, 13(17), 2810”<\/p>\n\n\n\n ” Zachary Tan, Samantha Simkin, Connie Lai, Shuan Dai (2019) Deep Learning Algorithm for Automated Diagnosis of Retinopathy of Prematurity Plus Disease Transl Vis Sci Technol . 2;8(6):23″<\/p>\n\n\n\n ” Yu Fujinami-Yokokawa , Hideki Ninomiya , Xiao Liu , Lizhu Yang, Nikolas Pontikos, Kazutoshi Yoshitake , Takeshi Iwata , Yasunori Sato , Takeshi Hashimoto, Kazushige Tsunoda, Hiroaki Miyata , Kaoru Fujinami (2021) Prediction of causative genes in inherited retinal disorder from fundus photography and autofluorescence imaging using deep learning techniques The Japan Eye Genetics Study (JEGC) Group”<\/p>\n\n\n\n ” Ciara O’Byrne , Abdallah Abbas , Edward Korot , Pearse A Keane (2021) Automated deep learning in ophthalmology: AI that can build AI. Curr Opin Ophthalmol “<\/p>\n\n\n\n ” Samantha M Santomartino , Nima Hafezi-Nejad , Vishwa S Parekh , Paul H Yi (2023) Performance and Usability of Code-Free Deep Learning for Chest Radiograph Classification, Object Detection, and Segmentation Radiol Artif Intell .”<\/p>\n\n\n\n “Rohan Misra, Ciara O\u2019Byrne and Pearse Keane (2022) Code-Free Deep Learning: a step into the future of ophthalmology EYE NEWS VOLUME 29 ISSUE 3 OCTOBER\/NOVEMBER 2022”<\/p>\n\n\n\n “Amelia Bai , Shuan Dai , Jacky Hung , Aditi Kirpalani , Heather Russell , James Elder , Shaheen Shah , Christopher Carty, and Zachary Tan (2023) Multicenter Validation of Deep Learning Algorithm ROP.AI for the Automated Diagnosis of Plus Disease in ROP Translational Vision Science & Technology 12(8):13”<\/p>\n\n\n\nAutomatic Refractive Error Estimation Using Deep Learning-Based Analysis of Red Reflex Images<\/h2>\n\n\n\n
Deep Learning Algorithm for Automated Diagnosis of Retinopathy of Prematurity Plus Disease<\/h2>\n\n\n\n
Prediction of causative genes in inherited retinal disorder from fundus photography and autofluorescence imaging using deep learning techniques<\/h2>\n\n\n\n
Automated deep learning in ophthalmology: AI that can build AI<\/h2>\n\n\n\n
Performance and Usability of Code-Free Deep Learning for Chest Radiograph Classification, Object Detection, and Segmentation<\/h2>\n\n\n\n
Code-Free Deep Learning: a step into the future of ophthalmology<\/h2>\n\n\n\n
Multicenter Validation of Deep Learning Algorithm ROP.AI for the Automated Diagnosis of Plus Disease in ROP<\/h2>\n\n\n\n