Saudi Arabia Earns Top Marks in Global AI Index for National Strategy 

Established in 2019, SDAIA serves as the national authority for all matters related to data (including big data) and AI, providing a centralized hub for its organization, development, and implementation. 
Established in 2019, SDAIA serves as the national authority for all matters related to data (including big data) and AI, providing a centralized hub for its organization, development, and implementation. 
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Saudi Arabia Earns Top Marks in Global AI Index for National Strategy 

Established in 2019, SDAIA serves as the national authority for all matters related to data (including big data) and AI, providing a centralized hub for its organization, development, and implementation. 
Established in 2019, SDAIA serves as the national authority for all matters related to data (including big data) and AI, providing a centralized hub for its organization, development, and implementation. 

The Stanford University International AI Index for 2024 ranked Saudi Arabia among the leading nations globally for developing a national strategy on Artificial Intelligence (AI). This comprehensive resource, valuable for policymakers, researchers, and industry specialists, provides insights into the current state and future trajectory of AI, reported the Saudi Press Agency on Wednesday.

This recognition reflects the Kingdom's commitment to leveraging data and AI technologies. Under the guidance and support of Prince Mohammed bin Salman bin Abdulaziz Al-Saud, Crown Prince, Prime Minister, and Chairman of the Saudi Data and Artificial Intelligence Authority (SDAIA) board of directors, the Kingdom is harnessing these powerful and transformative technologies for the betterment of humanity, while promoting a global framework for international cooperation in the field of AI.

Saudi Arabia's strong positioning in the AI and data domain underscores the success of Vision 2030, a national transformation plan where AI plays a pivotal role. Approximately 70% of the goals of Vision 2030 are directly or indirectly tied to AI, propelling the Kingdom toward a leading position in global AI rankings.

Established in 2019, SDAIA serves as the national authority for all matters related to data (including big data) and AI, providing a centralized hub for its organization, development, and implementation.

The latest accomplishment builds on Saudi Arabia's previous achievements in the AI realm. In 2023, the Kingdom secured the top spot in the Government Strategy Index for Artificial Intelligence, in the global AI classification issued by Tortoise Intelligence, which evaluates over 60 countries. Stanford University International AI Index 2023 ranked Saudi Arabia second globally in public awareness about AI.

These global accolades align with SDAIA's tireless efforts to solidify Saudi Arabia's position as a global leader in data and AI. Its multifaceted approach includes capacity building, policy development, fostering investment and innovation, strengthening technical infrastructure, and promoting the adoption of AI solutions in priority areas aligned with national objectives.

SDAIA is dedicated to achieving a set of strategic goals, including continuous modernization of the national data and AI agenda, and ensuring its successful implementation at the national level. Its steadfast commitment paves the way for Saudi Arabia to become a frontrunner in the information, data, and AI-driven economies of the future.



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.