Nick Dai

Cambridge University Hospitals NHS Foundation Trust

Papers

Total Citations

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About

Nick Dai is a researcher at the forefront of integrating artificial intelligence into urological oncology. His work focuses on how machine learning and deep learning can revolutionize the diagnosis, treatment planning, and prognosis of urological cancers. Dai’s major contribution lies in synthesizing the rapidly evolving landscape of AI applications in this field, providing a critical roadmap for clinicians and researchers. His most-cited paper, "Artificial intelligence in urological oncology: An update and future applications" (2021), has garnered 32 citations, serving as a key reference for those exploring AI’s role in prostate, bladder, kidney, and testicular cancers. In this comprehensive review, Dai systematically examined four core areas of urological oncology, highlighting how AI can enhance imaging analysis, predict treatment outcomes, and personalize patient care. By bridging the gap between cutting-edge computational methods and clinical practice, Nick Dai is helping to shape the next generation of precision oncology, making his work essential reading for anyone interested in the future of cancer care.