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README.md
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**HARI aims to be the world's leading Healthcare AI research institute**, pioneering **sustainable and innovative AI solutions** to advance patient care, medical research, and healthcare operations.
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- Foster **collaborations** between clinicians, AI researchers, and industry leaders.
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- Lead **global healthcare AI commercialization** and regulatory frameworks.
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- Train **next-generation AI-driven medical professionals**.
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- **Technology Research Center** (Medical imaging, Biosignal, Genomics, Digital Pathology)
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- **Healthcare AI Partnerships** with MIT, HMS, MGH, Stanford, and other global leaders.
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- **AI-Powered Healthcare Data Research Platforms**: SUPREME, [SNUHUB](https://snuhub.snuh.org/), DeView, [VitalDB](https://vitaldb.net/), [NSTRI global data platform](https://nstri.net)
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- **Supercomputing AI Infrastructure**: NVIDIA H100, A100 GPUs
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- **Healthcare AI Innovation Hub**: AI research collaborations across Seoul National University-affiliated hospitals.
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- Secure **cross-institutional medical data-driven AI research collaboration**.
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- **Regulatory AI frameworks** for responsible AI adoption in healthcare.
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##
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- **Government agencies** shaping AI policy in healthcare.
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## π’ Announcement
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We are excited to share two major updates from **Healthcare AI Research Institute (HARI) at Seoul National University Hospital**!
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### π§ Model
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π **A state-of-the-art LLM achieving 81% on the Korean Medical Licensing Exam (KMLE) will be released soon!**
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Stay tuned as we introduce an advanced medical AI model designed to support clinical decision-making and medical education.
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### π Datasets
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π **ClinicalQA is now available!**
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A dataset of **1,000 high-quality question-answer pairs** covering diverse clinical scenarios, designed to enhance medical AI development and benchmarking.
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π€ **Join us in shaping the future of AI-driven healthcare!**
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---
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## π Vision & Mission
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**"Shaping a sustainable and healthy future through pioneering AI research."**
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πΉ **Vision**: Transforming healthcare through AI-driven innovation for a healthier future.
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πΉ **Mission**:
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- Develop **cutting-edge AI technologies** for clinical and operational excellence.
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- Foster **collaborations** between clinicians, AI researchers, and industry leaders.
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- Lead **global healthcare AI commercialization** and regulatory frameworks.
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- Train **next-generation AI-driven medical professionals**.
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## π Research Platform
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- **AI-Powered Clinical & Research Platforms**: SUPREME, SNUHUB(https://snuhub.snuh.org), DeView, VitalDB(https://vitaldb.net), [NSTRI global data platform](https://nstri.net)
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- **Supercomputing AI Infrastructure**: NVIDIA H100, A100 GPUs, Quantum Computing Initiative.
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## π‘ Key Initiatives
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### π¬ AI Development for Clinical Application
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- AI-assisted **Clinical note summarization**, **medical imaging diagnostics**, **real-time patient monitoring**, and more!
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- AI-powered **electronic health records (EHR) automation**.
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### π‘ Global AI-Driven Healthcare Data Platform
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- Secure **cross-institutional medical data-driven AI research collaboration**.
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- **Responsible AI frameworks** for safe AI adoption in healthcare.
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### π **AI Training & Education**
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- **Basic AI Education Program**: Designed for **physicians, researchers, and medical students**, covering fundamental AI concepts, medical data analytics, and ethical AI usage.
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- **Advanced AI Research Program**: Focused on AI model development, deep learning in healthcare, and clinical AI validation, aimed at senior researchers and specialists.
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## π€ Collaborate with Us!
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HARI is open to partnerships with:
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- **AI research institutions** and **academic collaborators**.
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- **Healthcare technology companies** and **startups**.
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- **Government agencies** shaping AI policy in healthcare.
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For inquiries and collaboration, please contact us at:
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π§ **[email protected]**
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π [Seoul National University Hospital](https://www.snuh.org)
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π *Together, we are shaping the future of AI-driven healthcare!* π€
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