How Oncologists Use AI to Think Through Treatment Decisions in Real Time

# Oncology

Doximity Ask gives oncologists an AI thought partner for weighing regimens, checking evidence, and working through complex cases

Doximity Team

Choosing a treatment path in oncology is rarely cut and dried. You’re weighing first-line options against contraindications, factoring in prior regimen exposure, thinking about comorbidities, and sometimes navigating evolving evidence. It’s a lot to hold at once.

A number of oncologists have found Doximity Ask useful as an AI thought partner for these moments, a place to think through options, check evidence, and pressure-test a plan before committing.

From staging to plan

Once the diagnosis is confirmed, Doximity Ask’s AI can help you:

- Explore first- and second-line regimen options for a specific cancer type and stage

- Weigh contraindications based on patient comorbidities

- Review evidence for neoadjuvant versus adjuvant sequencing

- Think through how PDL1 levels affect treatment selection

An example prompt: “Review the latest evidence on neoadjuvant versus adjuvant therapy sequencing.” That kind of question goes well beyond a quick lookup, it’s a case-level decision point, and Doximity Ask can help you work through it in a single conversation.

Try in Doximity Ask

Paste the full case

Oncologists frequently paste full case details and ask for recommended next steps. Complex presentations, rare tumor types, atypical staging, overlapping comorbidities, tend to benefit most from giving Doximity Ask as much context as possible.

Because Doximity Ask is HIPAA-compliant, you can include the kind of specific patient detail that makes the AI’s response actually useful, without the concern you’d have using a non-compliant tool. Pasting a full clinical summary, referencing prior treatment history, or including lab values is the kind of context that leads to more relevant, actionable answers.

Start your next treatment conversation at Doximity Ask .