Preventing eye diseases with Artificial Intelligence

Summary

Discover how our ERG-based prediction technology, backed by Artificial Intelligence, can make a difference in the prevention of eye diseases. Our innovative solution enables early detection and prevention of diseases that can affect vision.

Success Story

The diagnosis of eye diseases is a global concern, and a lack of focus on prevention can result in unnecessary risks. Trascender Global has developed an AI model that has the potential to change this situation. According to the WHO, more than 80% of eye diseases are preventable, and our model uses ERG signals and basic demographic data to predict the onset of these diseases. This allows for early diagnosis and prevention of blindness in a significant percentage of patients.

Technologies Used

  1. ERG Signals (Electroretinogram): The case study focuses on the use of ERG signals, which are records of electrical activity in the retina in response to visual stimuli. These signals provide valuable information about ocular health.
  2. Artificial Intelligence (AI): AI is used to analyze ERG signals and basic demographic data of patients. Through machine learning algorithms, a model is developed that can predict the onset of specific eye diseases.
  3. Applications in Medicine and Ocular Health: The technology is used in the prevention and early diagnosis of eye diseases. It can be a valuable tool for ophthalmologists and patients, enabling them to take preventive measures and avoid blindness.
  4. Keras Prediction Model: It is a model developed in Keras that can predict the likelihood of a patient suffering from specific eye diseases, such as Congenital Stationary Night Blindness (CSNB) and Retinitis Pigmentosa Type 1 to 3 (RPi), or if the patient shows no signs of eye diseases throughout their life.

Where It Can Be Used?

This technology has a broad spectrum of applications in various industries:

  1. Medicine and Ocular Health: Our solution is invaluable in the prevention and early diagnosis of eye diseases. It can help ophthalmologists and patients take preventive measures and avoid blindness.
  2. Medical Research: It facilitates medical research by providing early data on the onset of eye diseases. This can lead to advances in the treatment and understanding of these conditions.

We Can Help Prevent Eye Problems

Through a model developed in Keras capable of predicting whether a patient will suffer from Congenital Stationary Night Blindness (CSNB), Retinitis Pigmentosa Type 1 to 3 (RPi), or if the patient shows no signs of eye diseases throughout their life. The model uses the patient’s ERG signal data along with basic demographic information.

Click here to see a similar case study applied to improving human health and quality of life. And if you want to learn more about the topic, you can also read the following article on AI and medicine.

How It Can Be Useful?

Our model, developed in Keras, can predict the likelihood of a patient suffering from specific eye diseases, such as Congenital Stationary Night Blindness (CSNB) and Retinitis Pigmentosa Type 1 to 3 (RPi). It can also identify those who show no signs of eye diseases throughout their lives. This enables more precise and personalized medical care, as well as the implementation of preventive measures.

Click here to see a similar case study applied to improving human health and quality of life. If you want to learn more about the topic, you can also read the following article on AI and medicine.

Any company looking to develop AI for health can benefit from working with us. Are you one of them? Schedule a meeting with us and share your ideas on how we could help you use AI to improve health and prevent eye diseases.

What Our Client Says About Their Experience

“Excellent written and spoken communication as the project progressed. They met all specifications and stayed within my budget. Highly recommended for any statistical analysis or machine learning project.”

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