OncologyIT Academy

AI in Oncology Practice Foundations

A practical course for oncology and healthcare leaders evaluating clinical AI tools, vendor claims, governance, and implementation risk. Built for clinicians and operators being asked to evaluate AI tools without a defensible framework.

$149

Founding-cohort price when payment opens. No payment today.

Join founding cohort waitlistRead the articles
Course operating map for oncology AI evaluation
Workflow firstTool class, clinical boundary, and operator fit.
Claim disciplineEvidence floor before external promotion.
Completion onlyEducation surface, not a credential.

Founding cohort

Signal interest before payment opens

No payment collection is active. This gate measures fit and demand before the pilot cohort is opened.

Do not submit patient identifiers, diagnosis details, treatment history, or clinical case questions. This form is only for course enrollment interest.

Educational content only. Not CME, not accredited, not medical advice, not patient-specific guidance. The Certificate of Completion is not a professional credential.

Curriculum

8 oncology-specific modules + a final assessment + Certificate of Completion

Module 1 preview: The Oncology AI Landscape
01

The Oncology AI Landscape

02

What AI Is Good At, Bad At, and Dangerous At

03

Clinical Safety and Validation Floor

04

Data, Privacy, and Workflow Boundaries

05

Oncology Workflow Fit

06

Buying, Governance, and Accountability

07

Applied Use-Case Memo

08

Lumen Capstone: Oncology AI Triage Board

Final Assessment & Certificate of Completion

A short final assessment is required to receive the Certificate of Completion. The certificate is not a professional credential.

Your Instructor

JS

Jivesh Sharma, M.D.

Medical Oncologist · CEO, Nexgen Precision

30+ years of clinical oncology experience. MIT Sloan AI Certificate holder. Building the intersection of cancer medicine and technology through vendor-independent analysis and education.