Advancing research, education, and leadership in digital health and artificial intelligence.
Research. Partnership. Impact.
The Center for Digital Health and Artificial Intelligence (CDHAI) conducts cutting-edge research at the intersection of digital technologies, analytics, AI, and healthcare. Its mission is to enable an evidence-based digital transformation of healthcare, educate digital health experts, and serve as a thought leader in digital health and AI.
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At the Inaugural Responsible AI for Health Symposium, Dr. Emma Pierson, assistant professor of computer science at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion, delivered a presentation on the training and evaluation of AI models using diverse datasets.
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Why it matters: To ensure equitable health care access and delivery in the future, artificial intelligence designers and decision makers will need to follow bias avoidance best practices.
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CGM-LSM improves near-future glucose prediction with high accuracy and robustness, advancing diabetes management through large-scale sensor data analysis.
