SNUH Healthcare AI Research Institute

📢 Announcement

We are excited to share two major updates from Healthcare AI Research Institute (HARI) at Seoul National University Hospital!

🧠 Models

🚀 A state-of-the-art LLM achieving 81% accuracy on the Korean Medical Licensing Exam (KMLE) will be released soon!
Stay tuned as we introduce an advanced medical AI model designed to support clinical decision-making and medical education.

📊 Datasets

📂 ClinicalQA dataset is now available!
We have released a dataset of over 1,000 high-quality question-answer pairs covering diverse clinical scenarios to enhance medical AI development and benchmarking.

🤗 Join us in shaping the future of AI-driven healthcare!

🌍 Vision & Mission

🔹 Vision: Shaping a sustainable and healthy future through pioneering AI research.
🔹 Mission:

• Develop cutting-edge AI technologies for clinical and operational excellence.
• Foster collaborations between clinicians, AI researchers, and industry leaders.
• Lead global healthcare AI commercialization and regulatory frameworks.
• Train next-generation AI-driven medical professionals.

🏗 Research Platform

• AI-Powered Medical Data Research Platforms: SUPREME, SNUHUB, DeView, VitalDB, NSTRI global data platform
• Supercomputing AI Infrastructure: NVIDIA H100, A100 GPUs, Quantum Computing Initiative.

💡 Key Initiatives

🔬 AI Development for Clinical Application

• AI-assisted Clinical note summarization, medical imaging diagnostics, real-time patient monitoring, and more!
• AI-powered electronic health records (EHR) automation.

📡 Global AI-Driven Healthcare Data Platform

• Secure cross-institutional medical data-driven AI research collaboration.
• Responsible AI frameworks for safe AI adoption in healthcare.

🎓 AI Training & Education

• Basic AI Education Program: Designed for physicians, researchers, and medical students, covering fundamental AI concepts, medical data analytics, and ethical AI usage.
• Advanced AI Research Program: Focused on AI model development, deep learning in healthcare, and clinical AI validation, aimed at senior researchers and specialists.

🤝 Collaborate with Us!

HARI is open to partnerships with:

• AI research institutions and academic collaborators.
• Healthcare technology companies and startups.
• Government agencies shaping AI policy in healthcare.

For inquiries and collaboration, please contact us at:
📧 help-ds@snuh.org
🌐 Seoul National University Hospital

🚀 Together, we are shaping the future of AI-driven healthcare! 🤗