Saudi Minister of Communications Meets NVIDIA CEO to Support Digital Economic Growth

The Saudi Minister of Communications has met with the CEO of NVIDIA in Riyadh. SPA
The Saudi Minister of Communications has met with the CEO of NVIDIA in Riyadh. SPA
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Saudi Minister of Communications Meets NVIDIA CEO to Support Digital Economic Growth

The Saudi Minister of Communications has met with the CEO of NVIDIA in Riyadh. SPA
The Saudi Minister of Communications has met with the CEO of NVIDIA in Riyadh. SPA

Saudi Minister of Communications and Information Technology Eng. Abdullah bin Amer Alswaha has met with the CEO of NVIDIA, Jensen Huang, in Riyadh.

The purpose of Saturday’s meeting was to enhance the strategic partnership and bolster support for the growth of the digital economy in the region. The Kingdom holds the position of the largest market for technology and innovation in the Middle East and North Africa.

They discussed investment opportunities, promoting innovation in deep technologies, maximizing the economic and social value of adopting generative artificial intelligence technologies, and capitalizing on various opportunities within the growing digital industry in the Saudi market.



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.