New Center to Bridge "Bench-to-Bedside" Gap in AI Advancements

New Center to Bridge "Bench-to-Bedside" Gap in AI Advancements

A new research initiative – the Center for AI-Driven Translational Informatics (CATI) – supported by the Penn Institute for Biomedical Informatics (IBI), the Department of Biostatistics, Epidemiology and Informatics (DBEI), and the Penn Institute for Immunology and Immune Health (I3H) will be led by Dokyoon Kim, PhD, Associate Professor of Informatics.

The mission of the newly launched center is to bridge the “bench-to-bedside” gap between theoretical frameworks and proof-of-concept methodologies to widespread clinical applications. To achieve this, the CATI plans to focus on demonstrating the reliability and safety of artificial intelligence (AI) methods within the medical sphere. As the role of AI continues to evolve and expand, AI-based recommendations within the field of medicine cannot realize their full potential unless they are accepted and trusted by healthcare providers and patients alike – this means that researchers developing algorithms must also invest in building transparency and accountability around their research.

That’s where the new center aims to make an impact. Dr. Kim and the CATI team envision the development of additional resources and infrastructure for translational research via this initiative as a powerful catalyst for individual labs and interdisciplinary collaborations at the University of Pennsylvania and beyond. Read the full story on the DBEI's LinkedIn.

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