News • Eye disease prevention

Using AI to screen for glaucoma

Scientists from the Nanyang Techniogical University (NTU) Singapore, in collaboration with clinicians at Tan Tock Seng Hospital (TTSH) in Singapore, have developed a novel method that uses artificial intelligence (AI) to screen for glaucoma, a group of eye diseases that can cause vision loss and blindness through damage to the optic nerve at the back of the eye.

Photo
Source: NTU Singapore

Glaucoma is often called ‘the silent thief of sight’ as it is usually asymptomatic until latter stages, when prognosis is poor. It is the principal cause of irreversible blindness worldwide and, in tandem with the rapid growth of the ageing population, is expected to affect 111.8 million people globally by 2040, up from 76 million in 2020.

The AI-enabled method uses algorithms to differentiate optic nerves with glaucoma from those that are normal by analysing ‘stereo fundus images’ – multi-angle 2D images of the retina that are combined to form a 3D image. When tested on stereo fundus images from TTSH patients undergoing expert examination, the AI method yielded an accuracy of 97 per cent in diagnosing glaucoma.

With the process of manually inspecting individual retinal images time-consuming and dependent on subjective evaluation by experts, this AI-enabled method, which removes the need for ophthalmologists to take various clinical measurements for diagnosis, could potentially be more efficient and economical, said the scientists.

The team is now looking at how the software can be ported to a mobile phone application so that, when used in conjunction with a fundus camera or lens adaptor for mobile phones, it could be a feasible glaucoma screening tool in the field. 


Source: NTU Singapore

09.09.2021

Read all latest stories

Related articles

Photo

Sponsored • Cardio app

AI system screens early Phase AFib

Here at Medica, the Taiwanese start-up Maisense is demonstrating Freescan, its artificial intelligence (AI) based solution to screen for stroke through the early detection of atrial fibrillation…

Photo

News • Prevention measure scrutinised

Colorectal cancer: colonoscopy screening not as effective as previously believed

A randomized study shows colonoscopy screening reduces the risk of colorectal cancer by 18 percent. The reduction is much smaller than experts previously assumed.

Photo

News • mhealth

App accurately detects COVID-19 infection in people’s voices

Artificial intelligence (AI) can be used to detect COVID-19 infection in people’s voices by means of a mobile phone app, according to research to be presented at the European Respiratory Society…

Related products

Agfa HealthCare – Rubee for AI

Artificial Intelligence

Agfa HealthCare – Rubee for AI

Agfa HealthCare
Beckman Coulter – Diazyme Human Kappa & Lambda FLC assays

Clinical Chemistry

Beckman Coulter – Diazyme Human Kappa & Lambda FLC assays

Beckman Coulter Diagnostics
Canon – Advanced intelligent Clear-IQ Engine for MR

Artificial Intelligence

Canon – Advanced intelligent Clear-IQ Engine for MR

Canon Medical Systems Europe B.V.
Canon - Aquilion Exceed LB

Oncology CT

Canon - Aquilion Exceed LB

Canon Medical Systems Europe B.V.
Canon – Aquilion Lightning

20 to 64 Slices

Canon – Aquilion Lightning

Canon Medical Systems Europe B.V.
Canon – Aquilion Lightning SP

Volume CT

Canon – Aquilion Lightning SP

Canon Medical Systems Europe B.V.
Subscribe to Newsletter