New Computer Game to Help People with Visual Impairments

A woman takes an eye test in east London. REUTERS/Olivia Harris
A woman takes an eye test in east London. REUTERS/Olivia Harris
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New Computer Game to Help People with Visual Impairments

A woman takes an eye test in east London. REUTERS/Olivia Harris
A woman takes an eye test in east London. REUTERS/Olivia Harris

A team of researchers at the Middle East Technical University in Ankara, Turkey, has developed new electronic games that help patients get rid of vision problems.

The innovative computer game, dubbed "Gözcü” (spotter), does not require the use of hands, but is managed by eye movement.

Kursat Cagıltay, a computer professor at Middle East Technical University of Ankara, said in a statement about the new innovation, that the project aims to improve the sight of people with partial visual impairments.

He added that the innovative games offer the eye the required exercises by tracking what is happening inside the game and controlling its elements with the eye movement.

"It is known that eye exercises are usually practiced by using beads, threads or colored objects, under the supervision of a specialist, but these traditional methods have no positive results in most cases, especially in young people with visual impairment. But, the new games give better results, because the patient has to follow the game while sitting in front of the computer screen, and thus move his eyes in all directions,” said Cagıltay.

The team behind the games was able to achieve good results during the pilot phase, which involved a child with strabismus, he explained.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.