Prepare your residents for radiation planning

Give your residents the basic radiology exposure they need to develop a systematic approach to image interpretation for radiation planning

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Designed for Programs Like Yours

Practical, Efficient, Impactful

Active Learning is Better
Promote experience with ordering, interpretation, and radiologist collaboration
AI Drives Faster Learning
Deliver immediate feedback on cases that matter with our best-in-class radiology AI
Build Your Dream Team
Shape your residents into outstanding future colleagues, rather than competing for expensive outside talent to fill vacancies

Benefits for Your Program

Reduce Faculty Burden

Instantly release your faculty from teaching this highly specialized area of practice

Benefits for Your Program

Maximize Flexible Scheduling

Streamline rotation scheduling for remote or unexpectedly rescheduled students

Benefits for Your Program

Support Remote Learning

Reach your students wherever they’re physically located

Benefits for Your Program

Enhance Your Program's Reputation

Equip students with radiology skills, turning them into ambassadors for your institution

How Rad Onc Programs Use RadClerk

Support Your Onboarding Curriculum, Rotations, and Evaluations

Onboarding Curriculum

Get new residents aligned with your expectations for performance

Clinical Rotations

Augment your rotations with an imaging component

Certificates

Documentation that celebrates achievement

Choose Topics That Match Student Goals
Equip your radiation oncology residents with essential imaging skills to determine treatment plans. Click on a topic to learn more.
XR Chest
Act rapidly on pulmonary emergencies.
XR Chest
XR MSK
Start healing broken bones faster.
XR MSK
CT Head
Survive your worst neuro day ever.
CT Head
CT Chest
Discover PE and aortic dissection.
CT Chest
CT Body
Master acute abdominal pain.
CT Body
DEXA
Finalize your bone density assessments.
DEXA
POCUS
Learn actionable bedside findings
POCUS

CASE STUDY

Meet
Carina Yang
MD

Dr. Yang, an MIT-trained neuroradiologist from the University of Chicago School of Medicine, shares her inspirational story on exploring AI-powered radiology education.

Frequently Asked Questions