Remidio Mirror

Today's reflections for tomorrow's vision.

Explore Remidio's most prized assets, our peer reviewed publications, press articles talking about our work, scientific blogs, and published  as well as granted patents.

Scientific Publications
Popular Press
White Papers
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Scientific Publications

2024
2023
2022
2021
2020
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Springer Link | September 2024

Enhancing comprehensive diabetic care: A smartphone fundus camera with an offline AI-powered diabetic retinopathy screening solution for physicians

BMJ  | September 2024

Empowering Portable Age-Related Macular Degeneration Screening: Evaluation of a Deep Learning Algorithm for a Smartphone Fundus Camera

Indian Journal of Ophthalmology  | August 2024

Evaluation of an AI algorithm trained on an ethnically diverse dataset to screen a previously unseen population for diabetic retinopathy

Current Opinion in Ophthalmology  | March 2024

Recent developments of telemedicine in glaucoma

International Journal of Computing and Digital Systems | February 2024

Application of optimized Deep Learning mechanism for recognition and categorization of retinal diseases

International Ophthalmology | February 2024

Clinical utility of handheld fundus and smartphone-based camera for monitoring diabetic retinal diseases: a review study

Mary Ann Liebert, Inc. | February 2024

Smartphone Eye Examination: Artificial Intelligence and Telemedicine

The Open Ophthalmology Journal | January 2024

Efficacy of Smartphone-based Fundus Photo in Vision Threatening Diabetic Retinopathy Screening: Developing Country Perspective

Eye | January 2024

Wide-field imaging with smartphone based fundus camera: grading of severity of diabetic retinopathy and locating peripheral lesions in diabetic retinopathy

Science Direct | January 2024

Transparency in AI reporting in Ophthalmology- A Scoping Review

Science Direct | September  2024

Diagnostic Performance of the Offline MediosArtificial Intelligence for Glaucoma Detectionin a Rural Tele-Ophthalmology Setting

BMJ | December 2023

Real-world evaluation of smartphone-based artificial intelligence to screen for diabetic retinopathy in Dominica: a clinical validation study

PLOS GLOBAL PUBLIC HEALTH| September, 2023

Diagnostic test accuracy of artificial intelligence in screening for referable diabetic retinopathy in real-world settings: A systematic review and meta-analysis

Karger | September 2023

Diagnostic accuracy of Automated Diabetic Retinopathy Image Assessment Softwares: IDx-DR and MediosAI

Frontiers | August 2023

Development and  Validation of an Artificial Intelligence based Screening Tool for Detection  of Retinopathy of Prematurity (ROP) in a South Indian population

Journal of Diabetes  Science and Technology | August 2023

Diabetic  Retinopathy Screening Using Smartphone-Based Fundus Photography and  Deep-Learning Artificial Intelligence in the Yucatan Peninsula: A Field Study

Mary Ann Liebert, Inc. | August 2023

Smartphone Eye Examination: Artificial Intelligence and Telemedicine

Digital Eye Care and Teleophthalmology| July 2023

Teleophthalmology  and COVID

investigative ophthalmology & visual science| July 2023

Improving the Accuracy of Diabetic Screening through Upgrades in Retinal Fundus Cameras Placed at Rural Primary Care Sites in Virginia

Digital Eye Care and Teleophthalmology| June 2023

Smartphone Technology for Teleophthalmology

Digital Eye Care and Teleophthalmology| June 2023

Teleophthalmology in Timor-Leste: A Journey

medRxiv| June 2023

Diagnostic test accuracy of artificial intelligence in screening for referable diabetic retinopathy in real-world settings: A systematic review and meta-analysis

World Journal of  Clinical Cases | June 2023

Diabetes more than retinopathy, it’s effect on the anterior segment of eye

Biosensors & Bioelectronics| June 2023

Artificial intelligence-assisted smartphone-based sensing for bioanalytical applications: A review

BMJ | May 2023

Prevalence of blindness and distance vision impairment in the Gambia across three decades of eye health programming

Journal of Glaucoma| May 2023

Agreement of a Novel Artificial Intelligence Software With Optical Coherence Tomography and Manual Grading of the Optic Disc in Glaucoma

Journal of Clinical Medicine| March 2023

Examining the Role of Telemedicine in Diabetic Retinopathy

Ophthalmology and  Therapy | March 2023

Artificial  Intelligence for Diabetic Retinopathy Screening Using Color Retinal  Photographs: From Development to Deployment

Nature| February 2023

Chákṣu: A glaucoma specific fundus image database

BMC Ophthalmology | December, 2022

Validation of a simple‑to‑use, affordable, portable, wavefront aberrometry‑based auto refractometer in the adult population: A prospective study

Clinical Ophthalmology | December, 2022

Validation of a Simple-to-Use, Affordable, Portable Wavefront Aberrometry-Based Auto Refractometer in a Paediatric Population

Journal of Glaucoma | November, 2022

Agreement of a Novel Artificial Intelligence Software with Optical Coherence Tomography and Manual Grading of the Optic Disc in Glaucoma

Journal of CURRENT OPHTHALMOLOGY | October, 2022

The Utility of Smartphone-Based Artificial Intelligence Approaches for Diabetic Retinopathy: A Literature Review and Meta-Analysis

PubMed | August, 2022

Digital innovations for retinal care in diabetic retinopathy

School of Advanced Education Research and Accreditation | August, 2022

The Role of Smartphones in Eyecare: A Systemic Review

Clinical Ophthalmology | August, 2022

Towards a Device Agnostic AI for Diabetic Retinopathy Screening: An External Validation Study

Indian Journal of Ophthalmology | April, 2022

Acceptability of artificial intelligence-based retina screening in general population

Diabetes Technology & Therapeutics| March, 2022

Tele-ophthalmology versus face-to-face retinal consultation for assessment of diabetic retinopathy in diabetes care centres in India: a multicentre cross-sectional study

IBOM Medical Journal| January, 2022

Smartphone Imaging Devices for Screening of Diabetic Retinopathy: A Review

Eye | January, 2022

Feasibility and clinical utility of handheld fundus cameras for retinal imaging

Indian Journal of Ophthalmology | December, 2021

Artificial intelligence integrated smartphone fundus camera for screening the glaucomatous optic disc

Journal of Clinical Medicine | Dec, 2021

Burden of Diabetic Retinopathy amongst People with Diabetes Attending Primary Care in Kerala: Nayanamritham Project

Indian Journal of Ophthalmology | November, 2021

Use of offline artificial intelligence in a smartphone-based fundus camera for community screening of diabetic retinopathy

Artifcial Intelligence in Ophthalmology | October 2021

Artifcial Intelligence in Diabetic Retinopathy

Translational Vision Science & Technology | October 2021

A Novel, Smartphone-Based, Teleophthalmology-Enabled, Widefield Fundus Imaging Device With an Auto-capture Algorithm

Journal of Current Ophthalmology |Oct, 2021

The Utility of Smartphone-Based Artificial Intelligence Approaches for Diabetic Retinopathy: A Literature Review and Meta-Analysis

National Library of Medicine|Oct, 2021

Clinical Role of Smartphone Fundus Imaging in Diabetic Retinopathy and Other Neuro-retinal Diseases

Journal of Current Ophthalmology |Oct, 2021

Adding screening for “end organ damage” to the non communicable disease package in primary care

Indian Journal of Ophthalmology | Oct 2021

Telemedicine in diabetic retinopathy screening in India

Translational Vision Science & Technology | July 2021

Design and Performance Characterization of a Novel, Smartphone-Based, Portable Digital Slit Lamp for Anterior Segment Screening Using Telemedicine

The British Medical Journal | Jun, 2021

Complex interventions to implement a diabetic retinopathy care pathway in the public health system in Kerala: the Nayanamritham study protocol

Indian Journal of Ophthalmology | May, 2021

A novel approach to anterior segment imaging with smartphones in the COVID-19 era

Eye | November, 2020

Review of retinal cameras for global coverage of diabetic retinopathy screening

investigative ophthalmology & visual science| July 2020

Screening for Diabetic Retinopathy Using Artificial Intelligence and Smartphone-Based Fundus Images

Indian Journal of Ophthalmology | July 2020

Insights into the growing popularity of artificial intelligence in ophthalmology

The Lancet Digital Health| April 2020

Progress in examining cost-effectiveness of AI in diabetic retinopathy screening.

Indian Journal of Ophthalmology | February 2020

A scalable, self-sustaining model for screening and treatment of diabetic retinopathy in rural Karnataka

BMJ Journals | January 2020

Simple, Mobile-based Artificial Intelligence Algorithm in the detection of Diabetic Retinopathy (SMART) study

Indian Journal of Ophthalmology | January 2020

Accuracy of the smartphone‑based nonmydriatic retinal camera in the detection of sight‑threatening diabetic retinopathy

Indian Journal of Ophthalmology | January 2020

Medios– An offline, smartphone‑based artificial intelligence algorithm for the diagnosis of diabetic retinopathy

JAMA Ophthalmology | August 2019

Diagnostic Accuracy of Community-Based Diabetic Retinopathy Screening With an Offline Artificial Intelligence System on a Smartphone

Diabetes Technology & Therapeutics | June 2019

Use of Telemedicine Technologies in Diabetes Prevention and Control in Resource-Constrained Settings: Lessons Learned from Emerging Economies

International Journal of Diabetes in Developing Countries | February 2019

Screening for diabetic retinopathy—is the use of artificial intelligence and cost-effective fundus imaging the answer?

Ophthalmology Retina | September 2018

Sensitivity and Specificity of Smartphone Based Retinal Imaging for Diabetic Retinopathy

The Royal College of Ophthalmologists | February 2018

Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence

PLOS One | September, 2015

Validation of Smartphone Based Retinal Photography for Diabetic Retinopathy Screening

Springer Link | September 2024

Enhancing comprehensive diabetic care: A smartphone fundus camera with an offline AI-powered diabetic retinopathy screening solution for physicians

BMJ | September 2024

Empowering Portable Age-Related Macular Degeneration Screening: Evaluation of a Deep Learning Algorithm for a Smartphone Fundus Camera

Indian Journal of Ophthalmology | August 2024

Evaluation of an AI algorithm trained on an ethnically diverse dataset to screen a previously unseen population for diabetic retinopathy

Current Opinion in Ophthalmology | March 2024

Recent developments of telemedicine in glaucoma

International Journal of Computing and Digital Systems | February 2024

Application of optimized Deep Learning mechanism for recognition and categorization of retinal diseases

International Ophthalmology | February 2024

Clinical utility of handheld fundus and smartphone-based camera for monitoring diabetic retinal diseases: a review study

Mary Ann Liebert, Inc. | February 2024

Smartphone Eye Examination: Artificial Intelligence and Telemedicine

The Open Ophthalmology Journal | January 2024

Efficacy of Smartphone-based Fundus Photo in Vision Threatening Diabetic Retinopathy Screening: Developing Country Perspective

Nature | January 2024

Wide-field imaging with smartphone based fundus camera: grading of severity of diabetic retinopathy and locating peripheral lesions in diabetic retinopathy

Science Direct | January 2024

Transparency in AI reporting in Ophthalmology- A Scoping Review

Science Direct | September 2024

Diagnostic Performance of the Offline MediosArtificial Intelligence for Glaucoma Detectionin a Rural Tele-Ophthalmology Setting

BMJ| December, 2023

Real-world evaluation of smartphone-based artificial intelligence to screen for diabetic retinopathy in Dominica: a clinical validation study

Eye| December, 2023

Evaluation of an offline, artificial intelligence system for referable glaucoma screening using a smartphone-based fundus camera: a prospective study

PLOS GLOBAL PUBLIC HEALTH| September, 2023

Diagnostic test accuracy of artificial intelligence in screening for referable diabetic retinopathy in real-world settings: A systematic review and meta-analysis

Karger| September, 2023

Diagnostic accuracy of Automated Diabetic Retinopathy Image Assessment Softwares: IDx-DR and MediosAI

Frontiers| August, 2023

Development and Validation of an Artificial Intelligence based Screening Tool for Detection of Retinopathy of Prematurity (ROP) in a South Indian population

Journal of Diabetes  Science and Technology| August, 2023

Diabetic Retinopathy Screening Using Smartphone-Based Fundus Photography and Deep-Learning Artificial Intelligence in the Yucatan Peninsula: A Field Study

Mary Ann Liebert, Inc.| August, 2023

Smartphone Eye Examination: Artificial Intelligence and Telemedicine

Digital Eye Care and Teleophthalmology| July, 2023

Teleophthalmology  and COVID

investigative ophthalmology & visual science| June, 2023

Improving the Accuracy of Diabetic Screening through Upgrades in Retinal Fundus Cameras Placed at Rural Primary Care Sites in Virginia

Digital Eye Care  and Teleophthalmology| June, 2023

Smartphone  Technology for Teleophthalmology

Digital Eye Care  and Teleophthalmology| June, 2023

Teleophthalmology  in Timor-Leste: A Journey

medRxiv| June 2023

Diagnostic test  accuracy of artificial intelligence in screening for referable diabetic  retinopathy in real-world settings: A systematic review and meta-analysis

World Journal of Clinical Cases| June, 2023

Diabetes more than  retinopathy, it’s effect on the anterior segment of eye

Biosensors and Bioelectronics| June, 2023

Artificial intelligence-assisted smartphone-based sensing for bioanalytical applications: A review

BMJ| May, 2023

Prevalence of blindness and distance vision impairment in the Gambia across three decades of eye health programming

Journal of Glaucoma| April, 2023

Agreement of a Novel Artificial Intelligence Software With Optical Coherence Tomography and Manual Grading of the Optic Disc in Glaucoma

Journal of Clinical Medicine| March, 2023

Examining the Role of Telemedicine in Diabetic Retinopathy

Ophthalmology and  Therapy|March, 2023

Artificial Intelligence for Diabetic Retinopathy Screening Using Color Retinal Photographs: From Development to Deployment

Nature|February, 2023

Chákṣu: A glaucoma specific fundus image database

BMC Ophthalmology| December, 2022

Validation of a simple‑to‑use, affordable, portable, wavefront aberrometry‑based auto refractometer in the adult population: A prospective study

Clinical Ophthalmology| December, 2022

Validation of a Simple-to-Use, Affordable, Portable Wavefront Aberrometry-Based Auto Refractometer in a Paediatric Population

Journal of Glaucoma| November, 2022

Agreement of a Novel Artificial Intelligence Software with Optical Coherence Tomography and Manual Grading of the Optic Disc in Glaucoma

Journal of Current Ophthalmology| October, 2022

The Utility of Smartphone-Based Artificial Intelligence Approaches for Diabetic Retinopathy: A Literature Review and Meta-Analysis

PubMed| August, 2022

Digital innovations for retinal care in diabetic retinopathy

School of Advanced Education Research and Accreditation| August, 2022

The Role of Smartphones in Eyecare: A Systemic Review

Clinical Ophthalmology| August, 2022

Towards a Device Agnostic AI for Diabetic Retinopathy Screening: An External Validation Study

Indian Journal of Ophthalmology| April, 2022

Acceptability of artificial intelligence-based retina screening in general population

Diabetes Technology & Therapeutics| March, 2022

Tele-ophthalmology versus face-to-face retinal consultation for assessment of diabetic retinopathy in diabetes care centres in India: a multicentre cross-sectional study

IBOM Medical Journal| January, 2022

Smartphone Imaging Devices for Screening of Diabetic Retinopathy: A Review

Eye | January, 2022

Feasibility and clinical utility of handheld fundus cameras for retinal imaging

Indian Journal of Ophthalmology | Dec, 2021

Artificial intelligence integrated smartphone fundus camera for screening the glaucomatous optic disc

Journal of Clinical Medicine | Dec, 2021

Burden of Diabetic Retinopathy amongst People with Diabetes Attending Primary Care in Kerala: Nayanamritham Project

Indian Journal of Ophthalmology | Nov, 2021

Use of offline artificial intelligence in a smartphone-based fundus camera for community screening of diabetic retinopathy

Artifcial Intelligence in Ophthalmology | Oct 2021

Artifcial Intelligence in Diabetic Retinopathy

Translational Vision Science & Technology | Oct 2021

A Novel, Smartphone-Based, Teleophthalmology-Enabled, Widefield Fundus Imaging Device With an Auto-capture Algorithm

Journal of Current Ophthalmology |Oct, 2021

The Utility of Smartphone-Based Artificial Intelligence Approaches for Diabetic Retinopathy: A Literature Review and Meta-Analysis

National Library of Medicine|Oct, 2021

Clinical Role of Smartphone Fundus Imaging in Diabetic Retinopathy and Other Neuro-retinal Diseases

Journal of Current Ophthalmology |Oct, 2021

Adding screening for “end organ damage” to the non communicable disease package in primary care

Indian Journal of Ophthalmology | Oct 2021

Telemedicine in diabetic retinopathy screening in India

Translational Vision Science & Technology | July 2021

Design and Performance Characterization of a Novel, Smartphone-Based, Portable Digital Slit Lamp for Anterior Segment Screening Using Telemedicine

The British Medical Journal | Jun, 2021

Complex interventions to implement a diabetic retinopathy care pathway in the public health system in Kerala: the Nayanamritham study protocol

Indian Journal of Ophthalmology | May, 2021

A novel approach to anterior segment imaging with smartphones in the COVID-19 era

Eye | November, 2020

Review of retinal cameras for global coverage of diabetic retinopathy screening

investigative ophthalmology & visual science| July 2020

Screening for Diabetic Retinopathy Using Artificial Intelligence and Smartphone-Based Fundus Images

Indian Journal of Ophthalmology | July 2020

Insights into the growing popularity of artificial intelligence in ophthalmology

The Lancet Digital Health| April 2020

Progress in examining cost-effectiveness of AI in diabetic retinopathy screening

Indian Journal of Ophthalmology | February 2020

A scalable, self-sustaining model for screening and treatment of diabetic retinopathy in rural Karnataka

BMJ Journals | January 2020

Simple, Mobile-based Artificial Intelligence Algorithm in the detection of Diabetic Retinopathy (SMART) study

Indian Journal of Ophthalmology | January 2020

Accuracy of the smartphone‑based nonmydriatic retinal camera in the detection of sight‑threatening diabetic retinopathy

Indian Journal of Ophthalmology | January 2020

Medios– An offline, smartphone‑based artificial intelligence algorithm for the diagnosis of diabetic retinopathy

JAMA Ophthalmology | August 2019

Diagnostic Accuracy of Community-Based Diabetic Retinopathy Screening With an Offline Artificial Intelligence System on a Smartphone

Diabetes Technology & Therapeutics | June 2019

Use of Telemedicine Technologies in Diabetes Prevention and Control in Resource-Constrained Settings: Lessons Learned from Emerging Economies

International Journal of Diabetes in Developing Countries | February 2019

Screening for diabetic retinopathy—is the use of artificial intelligence and cost-effective fundus imaging the answer?

Ophthalmology Retina | September 2018

Sensitivity and Specificity of Smartphone Based Retinal Imaging for Diabetic Retinopathy

The Royal College of Ophthalmologists | February 2018

Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence

PLOS One | September, 2015

Validation of Smartphone Based Retinal Photography for Diabetic Retinopathy Screening

Popular Press

PR Newswire | May, 2024

Health-tech innovator Remidio achieves unprecedented scale in the US with its revolutionary retinal solutions

ET Healthworld | October, 2023

Eye is emerging as an interrogative tool for conditions beyond ophthalmic diseases : Dr. Anand Sivaraman

Cision PR Newswire| January, 2023

Remidio's Revolutionary AI on a smartphone for Referable Diabetic Retinopathy (DR) Receives EU MDR Class II Regulatory Approval

Ophthalmology Times | December, 2022

Smartphone-based fundus camera provides Glaucoma Screening

Cision PR Newswire | July, 2022

Remidio's Medios AI shows significant promise in last-mile Screening for Referable Glaucoma

Cision PR Newswire | February, 2022

Impact of the first guided Diabetic Retinopathy screening to care continuum program within the Indian public health system

Times Of India | August 2019

BMC study helps detect diabetic blindness easily

Wired | September 2018

The NHS could learn a thing or two from India's healthcare innovators

Mobihealth News| March 2018

Study: AI and a smartphone-based device help in identifying diabetic retinopathy

The Economic Times| February 2017

How potential entrepreneurs can tap India's affordable medical devices market.

The Economic Times| August 2015

Remidio Innovative Solutions: A startup providing cure for retinopathy

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White Papers

Detecting DR With Smartphone-Based Widefield Imaging

Authors: AAO team

Artificial Intelligence in Ophthalmology: Opportunities & Challenges

Authors: Sreetama Dutt, Dr Anand Sivaraman

Tear Proteasome Analysis & its role in Early Screening & Staging of Disease

Authors: Sreetama Dutt, Dr Anand Sivaraman

The Eye as a Window to Wellness

Authors: Sreetama Dutt, Dr Anand Sivaraman

Blogs

Blogs