The current state of AI in oncology Back in 2012, when IBM launched its landmark Watson for Oncology program, the notion of AI digital assistants—dare we call them robots? —seemed like the stuff of science fiction. Although Watson was largely unsuccessful, AI-driven tools are now notably impacting various areas of oncology—from enhancing early detection and diagnosis through sophisticated imaging and screening algorithms to rapidly analyzing and managing vast amounts of healthcare data for better HCP efficiency.
One thing we know from our survey data: Today's oncologists are clearly intrigued by this burgeoning technology—nearly all of our survey respondents (95%) indicated they were somewhat or very interested in AI’s potential use in the diagnosis and treatment of cancer. On the other hand, while new AI devices and software are already proving successful in the field, less than…
