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
Blogs
Scientific

Scientific Publications

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| 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

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| 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

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