SDAIA Showcases Efforts in Utilizing AI to Support Entrepreneurs at Saudi-Korean Business Forum

The Saudi-Korean Business Forum is organized by the National Competitiveness Center, the Federation of Saudi Chambers, and the Korea Chamber of Commerce and Industry. (SPA)
The Saudi-Korean Business Forum is organized by the National Competitiveness Center, the Federation of Saudi Chambers, and the Korea Chamber of Commerce and Industry. (SPA)
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SDAIA Showcases Efforts in Utilizing AI to Support Entrepreneurs at Saudi-Korean Business Forum

The Saudi-Korean Business Forum is organized by the National Competitiveness Center, the Federation of Saudi Chambers, and the Korea Chamber of Commerce and Industry. (SPA)
The Saudi-Korean Business Forum is organized by the National Competitiveness Center, the Federation of Saudi Chambers, and the Korea Chamber of Commerce and Industry. (SPA)

The Saudi Data and AI Authority (SDAIA) participated in a working session centered around innovation and technology during the Saudi-Korean Business Forum in Seoul, South Korea.

Saudi Minister of Commerce Dr. Majid bin Abdullah Al-Qasabi and a delegation of government and private sector officials are on an official visit to the Korean capital. The visit aims to bolster commercial relations in key economic sectors between both nations, strengthening their economic partnership.

The Saudi-Korean Business Forum is organized by the National Competitiveness Center, the Federation of Saudi Chambers, and the Korea Chamber of Commerce and Industry.

At the forum’s Saudi Arabia pavilion, SDAIA showcased the Rowad initiative, a package designed to assist entrepreneurs and micro, small, and medium-sized enterprises in Saudi Arabia.

The initiative facilitates entrepreneurs and startups in verifying client data electronically by integrating with the National Information Center databases, ensuring top-notch safety, reliability, and supporting entrepreneurs' contributions to the national GDP. It enhances identity uses in emerging sectors and improves facility data quality.

SDAIA also presented plans for the third edition of the Global AI Summit, scheduled for Riyadh in September. Featuring over 250 speakers from across the globe, the summit will delve into AI potentials and its impacts across diverse fields.

SDAIA’s participation in the forum aligns with the Authority’s commitment to fostering partnerships with international entities. Through such collaborations, SDAIA strives to realize its vision of establishing a data-driven national economy, in line with the goals of Saudi Vision 2030, and positioning the Kingdom among leading countries in data and AI-driven economies.



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.