Saudi Communications, Space, and Technology Commission Joins Digital Sustainability Alliance with ITU

The Communications, Space and Technology Commission (CST) logo
The Communications, Space and Technology Commission (CST) logo
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Saudi Communications, Space, and Technology Commission Joins Digital Sustainability Alliance with ITU

The Communications, Space and Technology Commission (CST) logo
The Communications, Space and Technology Commission (CST) logo

The Saudi Communications, Space, and Technology Commission (CST) has joined the Digital Sustainability Alliance (DSA) with the International Telecommunication Union (ITU).

The announcement was made in the presence of ITU Secretary-General Doreen Bogdan-Martin on the sidelines of the 28th Conference of the Parties (COP28) held in Dubai.

The alliance of DSA and ITU aims to stimulate opportunities for partnerships and expand the scope of coordination with the communications and technology community to participate in finding and developing digital solutions to address climate challenges, through the transition to digital infrastructure that enables sustainable environmental solutions.

CST said in a statement that by joining the alliance, it seeks to come up with sustainable digital solutions to address climate challenges, develop and implement regulations that enable the circular economy to contribute to reducing carbon emissions and the effects of climate change, and move to an environment-friendly digital infrastructure through cooperation with partners in the government and private sectors and UN organizations.



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.