AI Health Data Lab
@ Yonsei University (Mirae)
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AI Health Data Lab(AHDL) conducts research using healthcare data, integrating advanced methodologies such as statistical analysis, machine learning, deep learning, and convolutional neural networks (CNN). AI Health Data Lab(AHDL) KEY research areas include AI Clinical Decision Support Systems (AI CDSS), AI Electronic Medical Records (AI EMR), digital health, big data, and global health.
AI Health Data Lab(AHDL) leveraging global networks to advance AI-driven healthcare data research.
In particular, we focus on utilizing AI technologies to analyze healthcare data in developing countries, contributing to evidence-based policy development.
For applications and inquiries, contact us at
For applications and inquiries, contact us at
lhc0104@yonsei.ac.kr
Areas of research
AI Research in Health data
AI Research in Health data
We leverage advanced Artificial Intelligence technologies, including AI Clinical Decision Support Systems (AI CDSS), AI Electronic Medical Records (AI EMR), machine learning, and deep learning, to conduct health informatics research focused on prediction, risk factor analysis, and clinical decision-making support.
Big Data in Health data
Big Data in Health data
In the era of Big Data, our research focuses on harnessing large-scale health datasets to derive meaningful insights, improve healthcare delivery, and enhance patient outcomes through innovative data-driven methods.
Global Research
Global Research
Our lab extends the application of AI-driven healthcare research globally, collaborating internationally to address critical health issues, improve healthcare systems, and reduce health disparities worldwide.
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