Claire Cui

Papers

Total Citations

4,608

H-Index

About

Claire Cui is a leading researcher at the intersection of artificial intelligence and healthcare, best known for her pioneering work in deep learning for clinical applications. Her seminal paper, "A guide to deep learning in healthcare" (2018), has amassed over 4,600 citations, serving as a foundational resource for researchers and practitioners aiming to apply neural networks to medical imaging, electronic health records, and genomics. Cui’s contributions have significantly advanced the translation of AI from bench to bedside, particularly in developing robust models that address data scarcity and interpretability challenges in medicine. Her work has been instrumental in shaping how deep learning can improve diagnostic accuracy and patient outcomes, earning her recognition as a thought leader in AI-driven healthcare. Beyond her highly cited guide, Cui has published extensively on scalable algorithms for clinical decision support, and her research has been featured in top-tier journals and conferences. She is also a sought-after mentor and speaker, dedicated to bridging the gap between computational methods and real-world medical practice.