AI Technology

Kiwi AI tool launches in India

Kiwi AI tool launches in India 768 512 Toku Eyes

An Artificial Intelligence retinal screening tool, developed in New Zealand, is being used in 20 eye clinics in India and is about to launch in the United States.

THEIA has been created by Toku Eyes and provides diabetic screening to detect signs of eye disease. Clinical trials were held at Counties Manukau DHB in its central and satellite units, as well as a private optometrist in Palmerston North.

Co-founder Ehsan Vaghefi says the company has been working hard over the past year to convert the AI from a research tool into a medical product and it is now registered in India and the United States as such.

The medical product includes the development of a special camera to take the necessary images, clinical audit functionality and a platform to capture patient information and present the results to clinicians.

The new technology is now being used in the largest eye hospital chain in the world, Aravind in India, which sees around four million patients a year and performs around 500,000 eye surgeries.

“In a system of that scale, a tiny bit of technological advance introduces a lot of efficiencies,” explains Vaghefi.

He adds that the economies of scale of providing a medical Device-as-a-Service on the cloud with a large population are huge. While New Zealand does not have that scale, it benefits from the reduction in labour costs from not having a specialist view all screening images.

He says the tool could expand existing screening capacity by 50 percent and reduce labour costs by nearly a third, allowing more patients to access these services, including those in under-served areas.

Toky Eyes is also partnering with some US companies that provide screening stations, essentially providing the “brain behind the process”, Vaghefi says.

By the end of this year, THEIA is going to be operating in around 100 locations across a couple of states, rising to around 500 locations by the end of 2023.

 

Article originally published on www.hinz.org.nz

By:  eHealthNews.nz editor Rebecca McBeth

An easier way to detect diabetes through technology

An easier way to detect diabetes through technology 768 512 Toku Eyes

Detecting diabetes is about to get a whole lot easier.

A Kiwi company has created a revolutionary technology called THEIA, which uses AI to examine blood vessels in the eye to detect disease.

To explain the technology Jesse is joined by THEIA founder and CEO Dr Ehsan Vaghefi.

From Afternoons with Jesse Mulligan
Article originally on www.rnz.co.nz

AI tool detects early signs of eye disease

AI tool detects early signs of eye disease 1024 683 Toku Eyes

The trial of an Artificial Intelligence retinal screening tool, developed in New Zealand, showed it did not miss any referable disease for diabetic patients at risk of eye disorders.

THEIA has been created by Toku Eyes and was tested for diabetic retinopathy. Co-founder Ehsan Vaghefi says the tool is being further developed to vastly improve early detection of eye disease such as macular degeneration and glaucoma.

Its use was trialed at Counties Manukau DHB in its central and satellite units, as well as a private optometrist in Palmerston North.

More than 900 patients, who are part of the diabetic screening programme, had their de-identified images screened as usual by retinal specialists, as well as by THEIA.

The study, conducted between March and May of this year, found the AI did not miss any patients with more than mild or vision threatening disease and the level of agreement with the clinicians was between 91-98 percent.

Vaghefi says people wait around six weeks to get their results from the current screening process, but with THEIA they would get them instantly. He says the tool could expand existing screening capacity by 50 percent and reduce labour costs by nearly a third, allowing more patients to access these services, including those in under-served areas.

Diabetic retinography is a leading cause of blindness in working age people, but there are screening backlogs nationwide.

Jacob Benefield, optometrist at Naylor Palmer Optometry in Palmerston North, says:

“Toku Eyes shows how AI can really help increase proactive retinal screening, maximising the time optometrists and ophthalmologists can spend with patients whose needs are more complex. Putting this tool into the hands of lab technicians and medical imagers will expand screening services, ensuring more people are seen sooner and improving their chances of early detection of diseases like diabetes,” 

Toku Eyes recently raised $3.6 million from investors to advance the commercialisation of THEIA and is applying for FDA approval in the US. Vaghefi says the AI platform is designed to handle lower quality images and anyone can be trained to operate the necessary machine, freeing up the time of specialists to focus on the 15-20 percent of people who need a consultation.

The use of AI also makes screening more accessible to people who struggle to attend hospital appointments. He would like to see a national diabetic screening programme developed with satellite units nationwide, supervised from the centre.

If you would like to provide feedback on this news story, please contact the editor Rebecca McBeth.

NEWS – eHealthNews.nz editor Rebecca McBeth
Article originally on www.hinz.org.nz

A multi-center prospective evaluation of THEIA

A multi-center prospective evaluation of THEIA 1024 683 Toku Eyes

A multi-center prospective evaluation of THEIA to detect diabetic retinopathy (DR) and diabetic macular edema (DME) in the New Zealand screening program

Purpose: to assess the efficacy of THEIA, an artificial intelligence for screening diabetic retinopathy in a multi-center prospective study. To validate the potential application of THEIA as clinical decision making assistant in a national screening program.

Methods: 902 patients were recruited from either an urban large eye hospital, or a semi-rural optometrist led screening provider, as they were attending their appointment as part of New Zealand Diabetic Screening programme.

These clinics used a variety of retinal cameras and a range of operators. The de-identified images were then graded independently by three senior retinal specialists, and final results were aggregated using New Zealand grading scheme, which is then converted to referable\non-referable and Healthy\mild\more than mild\vision threatening categories. Results: compared to ground truth, THEIA achieved 100% sensitivity and [95.35%-97.44%] specificity, and negative predictive value of 100%. THEIA also did not miss any patients with more than mild or vision threatening disease. The level of agreement between the clinicians and the aggregated results was (k value: 0.9881, 0.9557, and 0.9175), and the level of agreement between THEIA and the aggregated labels was (k value: 0.9515).

Conclusion: Our multi-centre prospective trial showed that THEIA does not miss referable disease when screening for diabetic retinopathy and maculopathy. It also has a very high level of granularity in reporting the disease level. Since THEIA is being tested on a variety of cameras, operating in a range of clinics (rural\urban, ophthalmologist-led\optometrist-led), we believe that it will be a suitable addition to a public diabetic screening program.

Ehsan Vaghefi, Song Yang, Li Xie, David Han, David Squirrell

Download Paper from Cornell University here