Zhaohui Su: AI Can Help Make Oncology Trials More Efficient, Scalable and Accessible

Zhaohui Su, VP, Strategic Consulting at Veristat, shared on LinkedIn: 'A recent Clinical Oncology review highlights that the most evidence-supported applications of AI are operational and already being implemented in select cancer centers: By contrast, more ambitious applications such as: remain in development and face important methodological, validation, and regulatory challenges. The takeaway: AI can help make oncology trials more efficient, scalable, and accessible, but success will depend on rigorous validation, transparency, human oversight, and following appropriate regulatory frameworks.' Authors: Andrea Villa, Ashley L. Eadie, David Synnott, Rebecca Romanò, Max Piffoux, Evelyn Yi Ting Wong, Naomi Scheinerman, Daniel S. W. Tan, Filippo Guglielmo Maria de Braud, Miriam Koopman, Jarushka Naidoo, Madhusmita Behera, Selen Bozkurt, Susan Halabi, Rodrigo Dienstmann, Loic Verlingue, Arsela Prelaj, Ravi B. Parikh․ Read the full article Other articles about AI in Oncology on OncoDaily.