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  /  Artificial Intelligence   /  New Innovation in AI Can Assist in Sight Diagnosis

New Innovation in AI Can Assist in Sight Diagnosis

AI in healthcare diagnosis is reaching new heights by enabling the detection of vision loss.

The significance of AI in the healthcare industry is widely accepted and appreciated. The recent pandemic-induced digital transformation highlighted the importance of artificial intelligence in the healthcare, pharma, and biotech industries. The advent of AI in healthcare improved personalized treatment, enhanced healthcare accessibility, enabled predictive diagnosis, provided surgical assistance, and many more benefits.

AI in health diagnosis garnered a lot of attention since it revolutionized the process of diagnosis. Reports of the utilization of deep learning in diagnosing breast cancer and other health conditions created a wave of curiosity on the internet. The role of AI in diagnosis starts with detecting diseases even before the symptoms appear. Another milestone is the use of computer vision, machine learning, and deep learning to analyze X-rays and other medical images to detect and recognize patterns of diseases.

A newly developed AI solution now promises to detect retinal conditions and reduce diabetic vision loss.


Can AI Tell if You Are at the Risk of Vision Loss?

According to Financial Express, Sankara Eye Foundation and Singapore-based, Leben Care are deploying a comprehensive retina risk assessment software-as-a-service platform in India called Netra.AI.

This cloud-based AI platform uses AI algorithms with a 4 Step Deep Convolutional Neural Network (DCNN) to enable automated retinal image analysis. With its revolutionary technology, Netra.AI can screen and analyze Diabetic Retinopathy, Diabetic macular Edima, Glaucoma, etc. All this AI platform needs is Fundus photographs of your retina and within minutes it can tell you whether you are at the risk of losing your vision. Netra.AI leverages Intel’s deep learning technology to power this retinal screening.

Prakash Mallya Vice President and Managing Director of Sales, Marketing, and Communications Group, Intel India revealed to Hindustan Times Tech that, “With Netra.AI, Sankara Eye Foundation and Leben Care have leveraged the power of Intel Xeon Scalable processors and built-in Intel Deep Learning (DL) Boost to accurately detect DR and enable timely treatment to effectively combat avoidable vision impairment and blindness in diabetic patients.”

Several reports are stating that diabetes is a challenging health condition affecting the population of India. Hence, the increasing rates of diabetic retinopathy among the patients cause moderate to severe vision loss. The role of AI and computer vision in screening diabetic retinopathy is not a new development. Although Netra.AI \can detect the results comparatively faster, that is in almost 2 minutes. A paper published in NCBI explains the procedure involved in retinal screening by AI as, “After being exposed to numerous annotated retinal images the machine learns to grade DR by itself by building a model of complex relationships between input data and generalizing a performance standard.”

An article in The Guardian talks about a pilot project of an algorithm developed by Dr. Ramasamy Kim and his team from Aravind Eye Hospital in Madurai, Chennai that can diagnose diabetic retinopathy. They created a retinal database to train the machine learning algorithm to identify eye complications. Reports say that Google partnered with the hospital to develop its AI project in 2019.

Another research laboratory in London, DeepMind developed a prototype that scans the retina to identify problems in real-time through its AI algorithm analysis.

The use of AI in medical diagnosis is increasing each day because of its exceptional capabilities to analyze medical data and images to predict, detect, and prevent health conditions. The future of AI in healthcare is bright and the recent pandemic has shown us the significance of AI and its subsets in innovating the sector to provide quality healthcare to people.