Advanced AI Based Retinal Screening with Instant Results

AEYE HealthNew York-Tel Aviv based digital health company, AEYE Health, has developed an AI-based retinal screening system that provides analysis and diagnostic results within 60 seconds.

Retinal diseases such as diabetic retinopathy (DR), glaucoma, macular degeneration and hypertensive retinopathy are becoming a pandemic. Over a billion people worldwide, and over 75 million people in the US, are at high risk for loss of sight and require an annual retinal check.

Yet, only 25% of high-risk patients are screened for retinal diseases due to high costs and lack of access to retinal screening.

AEYE Health looks to simplify the screening process by creating an advanced AI diagnostic system, which can operate on any fundus camera. This will enable the screenings to take place outside the ophthalmologist’s office, in places like primary care and endocrinology clinics or pharmacies.

AEYE Health's advanced machine learning and artificial-intelligence technologies offer instant and accurate screening and analysis of the retina for the detection of a variety of conditions, including Alzheimer's disease and heart conditions.

AEYE Health was founded in 2018 by Zack Dvey-Aharon, Ph.D., a machine learning expert, and by COO Danny Margalit, former founding partner of Aladdin Knowledge Systems.

Zack Dvey-Aharon, Ph.D., Co-founder and CEO of AEYE Health said: "Early detection is key to saving patients' vision. We at AEYE Health have created a unique, AI-based system that can operate on any fundus camera to ensure patients who need an eye check can receive it without having to wait until their next visit to the ophthalmologist's office.

"We are currently on track to receive our FDA approval by the end of the year. We already have several exciting projects in the pipeline, ready for launch as soon as we get the clearance."

"We are delighted to spearhead global efforts to develop an accurate, affordable and useable solution to detect retinal conditions, prevent blindness and save lives."

For further information, please visit:
https://www.aeyehealth.com

About AEYE Health

AEYE Health's mission is to prevent world blindness. There are over a billion people worldwide that are at risk of losing their sight to retinal diseases (75 million in the US alone). With AEYE Health's automated diagnostic system, retinal screening becomes accessible practically anywhere.

Most Popular Now

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

Using AI to Treat Infections more Accura…

New research from the Centres for Antimicrobial Optimisation Network (CAMO-Net) at the University of Liverpool has shown that using artificial intelligence (AI) can improve how we treat urinary tract infections...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...