Publications

Clinical Evidence. Proven Impact. Peer Reviewed.

IJO |

September 2025

Teleconsultation: Ophthalmology reaching every nook and corner

Eye |

July 2025

Advancing AMD screening with an offline, AI-powered smartphone-based fundus camera: A prospective, real-world clinical validation

PLOS One |

June 2025

Evaluating real-world performance of an automated offline glaucoma AI on a smartphone fundus camera across glaucoma severity stages

IOVS |

June 2025

Eye Health Index: A Novel, Holistic Approach to Assessing Eye Health with Multi-Modal Diagnostic Technology

IOVS |

June 2025

Enhancing Glaucoma Screening: Real-World Validation of Medios AI Across Ethnicities and Imaging Systems

PLOS |

May 2025

SMART (artificial intelligence enabled) DROP (diabetic retinopathy outcomes and pathways): Study protocol for diabetic retinopathy management

Nature |

May 2025

A scoping review of artificial intelligence as a medical device for ophthalmic image analysis in Europe, Australia and America

Medical Hypothesis, Discovery and Innovation in Ophthalmology |

May 2025

Artificial intelligence in ophthalmology: opportunities, challenges, and ethical considerations

Current Neurology and Neuroscience Reports |

April 2025

The Use Of Fundus Photography In The Emergency Room – A Review

JMIR Formative Research |

March 2025

Barriers and Determinants of Referral Adherence in AIEnabled Diabetic Retinopathy Screening for Older Adults in Northern India During the COVID19 Pandemic: Mixed Methods Pilot Study

IEEE |

February 2025

Smart-KC++: Improving the Performance of Smartphone-Based Corneal Topographers

Frontiers in Ophthalmology |

February 2025

A prospective comparison of Scheimpflugbased anterior segment imaging systems in normal and abnormal corneas: Oculus Pentacam vs. Remidio Visionix VX650

Medical Journal Armed Forces India |

November 2024

Role of artificial intelligenceenabled handheld fundus camera for communitybased diabetic retinopathy screening

Springer Link |

September 2024

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

Ophthalmology Glaucoma |

September 2024

Diagnostic Performance of the Offline Medios Artificial Intelligence for Glaucoma Detection in a Rural Tele-Ophthalmology Setting

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

Asia-Pacific Journal of Ophthalmology |

August 2024

Artificialintelligence for retinal diseases

Investigative Ophthalmology & Visual Science |

June 2024

Prospective validation of AI-Driven Fundus Camera: A paradigm shift in Referable AMD Screening

Elsevier |

March 2024

Integration of smartphone technology and artificial intelligence for advanced ophthalmic care: A systematic review

Current Opinion in Ophthalmology |

March 2024

Recent developments of telemedicine in glaucoma

International Ophthalmology |

February 2024

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

International Journal of Computing and Digital Systems |

February 2024

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

The Open Ophthalmology Journal |

January 2024

Efficacy of Smartphonebased Fundus Photo in Vision Threatening Diabetic Retinopathy Screening: Developing Country Perspective