Saudi Delegation Discusses Technology and Innovation Partnerships with US Companies

The Saudi digital economy, space and innovation delegation has held meetings with US technology companies. SPA
The Saudi digital economy, space and innovation delegation has held meetings with US technology companies. SPA
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Saudi Delegation Discusses Technology and Innovation Partnerships with US Companies

The Saudi digital economy, space and innovation delegation has held meetings with US technology companies. SPA
The Saudi digital economy, space and innovation delegation has held meetings with US technology companies. SPA

The Saudi digital economy, space and innovation delegation has held meetings with US technology companies to foster partnerships for advancing the digital economy and enhancing innovation in the Kingdom.

The delegation is headed by Minister of Communications and Information Technology (CIT) Eng. Abdullah bin Amer Al-Swaha.
During the visit to Silicon Valley, Al-Swaha met with Databricks CEO Ali Ghodsi to explore cutting-edge business solutions leveraging data and artificial intelligence (AI), as well as investment opportunities in the Kingdom.
Deputy Minister of CIT Eng. Haytham AlOhali engaged in discussions with the leadership team of NVIDIA to explore avenues for research and innovation in deep technologies, while maximizing the economic and social value through AI.

AlOhali also met with Salesforce President and Chief Product Officer David Schmaier to explore partnership opportunities in solutions and software to support innovative business solutions.



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.