Cancer care now generates more data than any clinician can act on alone. Guidelines evolve. Clinical trials open and close. Testing windows pass before decisions get made. The result is oncology teams managing real complexity with workflows that haven't caught up.
For a growing number of cancer programs, AI is changing that calculus. Tools that aggregate patient data across silos, surface relevant guidelines in real time and match patients to clinical trials inside the clinical workflow are moving from early-adopter pilots toward standard practice — across community oncology, academic medical centers and large urology and specialty groups.
This webinar brings together oncologists from Viz.ai, St. Elizabeth Cancer Center and Advocate Health Creticos Cancer Center to discuss what AI in oncology looks like in real clinical scenarios. Attendees will see a demonstration grounded in actual workflow examples and hear practitioner perspectives on how AI is starting to reduce friction at the point of care.
Insights include:
- Where AI is meaningfully reducing friction in oncology workflows
- A demonstration grounded in real clinical scenarios
- Perspectives from practicing oncologists on day-to-day impact
- How AI supports trial matching, guideline surfacing and care coordination
Feel free to register even if you can't attend live, we'll make sure to send you the recording afterwards. Hope to see you there!
