Latest News


iHealthScreen Inc. Announces CE Certification for iPredict™ Automated AI System for Early Diagnosis of Diabetic Retinopathy (DR), Age Related Macular Degeneration (AMD), and Glaucoma Suspect

iPredict™ AI Eye Screening System provides fully automated diabetic retinopathy (DR), age related macular degeneration (AMD), and glaucoma suspect screening, including retinal imaging, and immediate reporting of actionable results…

Continue Reading

iHealthScreen Inc. annonce la certification CE du système IA automatisé iPredict™ pour le dépistage précoce de la rétinopathie (RD), la dégénérescence maculaire liée à l’âge (DMLA) et les cas suspects de glaucome

NEW YORK–(BUSINESS WIRE)–iPredict™ un système d’intelligence artificielle (IA) d’analyse de l’œil permet le dépistage entièrement automatique de la rétinopathie (RD)

Continue Reading

iHealthScreen Inc. Announces CE Certification for iPredict™ Automated AI System for Early Diagnosis of Diabetic Retinopathy (DR), Age Related Macular Degeneration (AMD), and Glaucoma Suspect

iPredict™ AI Eye Screening System provides fully automated diabetic retinopathy (DR), age related macular degeneration (AMD), and glaucoma suspect screening, including retinal imaging, and immediate reporting of actionable results…

Continue Reading

iHealthScreen Inc. Announces CE Certification for iPredictTM Automated AI System for Early Diagnosis of Diabetic Retinopathy (DR), Age Related Macular degeneration (AMD), and Glaucoma Suspect

NEW YORK–(BUSINESS WIRE)– iPredictTM AI Eye Screening System provides fully automated diabetic retinopathy (DR), age related macular degeneration (AMD), and glaucoma suspect screening, including retinal imaging, and immediate reporting of actionable results …

Continue Reading

iHealthScreen Inc. Announces CE Certification for iPredictTM Automated AI System for Early Diagnosis of Diabetic Retinopathy (DR), Age Related Macular degeneration (AMD), and Glaucoma Suspect

iPredictTM AI Eye Screening System provides fully automated diabetic retinopathy (DR), age related macular degeneration (AMD), and glaucoma suspect screening, including retinal imaging, and immediate reporting of actionable results …

Continue Reading

The IHealthScreen Inc Launches In Bangladesh

iHealthScreen Bangladesh Ltd, a local healthcare service provider, in collaboration with Diabetic Association of Bangladesh (DAB), launched its artificial health screening services

Continue Reading

Artificial eye health screening starts countrywide

Artificial eye health screening activities kicked off across the country on Sunday, aiming to protect people against eye damage and blindness.

Continue Reading

iHealthScreen’s Artificial Intelligence (AI) Based Tool Can Accurately Diagnose Age-Related Macular Degeneration (AMD) and Help Prevent Blindness

Prospective Study Presented at the Annual Meeting of the American Academy of Ophthalmology (AAO), November 13-15, 2020

Continue Reading

AI Model Predicts Risk for Age-Related Macular Degeneration

A new artificial intelligence algorithm can predict risk for age-related macular degeneration (AMD), according to a study published…

Continue Reading

Development and Validation of an Automated Diabetic Retinopathy Screening Tool for Primary Care Setting

We report the construction of a fully automated artificial intelligence deep learning (DL) software on a secure Health Insurance Portability and Accountability Act–compliant….

Continue Reading

iHealthscreen’s Prediction Model for Risk of Progression to Late AMD

Monitoring and management of age-related macular degeneration (AMD) can be taxing on patients and their caregivers, as well as the eye care team. This burden might be eased….

Continue Reading

Interview with Alauddin Bhuiyan, CEO and Chief Scientist, iHealthScreen at NYC Health Tech

Can you discuss your background and how you became interested in preventing eye disease? Tell us the story of how this led you to iHealthScreen?
My Ph.D. focuses on modeling retinal vascular structure into an efficient data structure using color …..

Continue Reading

‘We Developed The First Tool That Can Predict Late AMD, Non- Invasively’

Dr. Alauddin Bhuiyan is an inventor, innovator, computer scientist and with deep life science and medical technology expertise covering the spectrum of life science and med-tech….

Continue Reading

Automatic Identification of Pathology-Distorted Retinal Layer Boundaries Using SD-OCT Imaging

We propose an effective automatic method for identification of four retinal layer boundaries from the spectral domain optical coherence tomography images in the presence and absence ….

Continue Reading

An automated method for choroidal thickness measurement from Enhanced Depth Imaging Optical Coherence Tomography images

The choroid is vascular tissue located underneath the retina and supplies oxygen to the outer retina; any damage to this tissue can be a precursor to retinal diseases…

Continue Reading

Classification of healthy and diseased retina using SD-OCT imaging and Random Forest algorithm

In this paper, we propose a novel classification model for automatically identifying individuals with age-related macular degeneration (AMD) or Diabetic Macular Edema (DME) using…..

Continue Reading

The IHealthScreen Inc Launches In Bangladesh

iHealthScreen Bangladesh Ltd, a local healthcare service provider, in collaboration with Diabetic Association of Bangladesh (DAB), launched its artificial health screening services

Continue Reading

Artificial eye health screening starts countrywide

Artificial eye health screening activities kicked off across the country on Sunday, aiming to protect people against eye damage and blindness.

Continue Reading

AI Model Predicts Risk for Age-Related Macular Degeneration

A new artificial intelligence algorithm can predict risk for age-related macular degeneration (AMD), according to a study published…

Continue Reading

BADAS agreement for 5M patients screening

An agreement has been signed and handing over the contract between Innovation Place Bangladesh (IPB) and Diabetic Association of Bangladesh (BADAS) for automated…

Continue Reading

Automatic Identification of Pathology-Distorted Retinal Layer Boundaries Using SD-OCT Imaging

We propose an effective automatic method for identification of four retinal layer boundaries from the spectral domain optical coherence tomography images in the presence and absence ….

Continue Reading

An automated method for choroidal thickness measurement from Enhanced Depth Imaging Optical Coherence Tomography images

The choroid is vascular tissue located underneath the retina and supplies oxygen to the outer retina; any damage to this tissue can be a precursor to retinal diseases…

Continue Reading

Classification of healthy and diseased retina using SD-OCT imaging and Random Forest algorithm

In this paper, we propose a novel classification model for automatically identifying individuals with age-related macular degeneration (AMD) or Diabetic Macular Edema (DME) using…..

Continue Reading