Trusted by thousands of residents worldwide to pass their radiology board exams.Exam-day
Based on your exam day, we’ll suggest the combination of courses that make the most out of your remaining study time.
Exam-day
radiology physics
Based on your exam day, we’ll suggest the combination of courses that make the most out of your remaining study time.Scroll down to
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Courses
Go from zero knowledge to passing score on exam day with options that match your schedule and style. Click below to learn more about our courses.Foundational ReviewStart easy, and draw along with our friendly, whiteboard-style lectures for a durable foundation of exam-day physics knowledge.
20Lecture Hours
200MCQs
Final ReviewFinish strong, with our scripted, slide-based microlectures, combined with MCQs designed to convert knowledge into points on exam day.
10Lecture Hours
500MCQs
Foundational ReviewYou want a gentle introduction. You prefer drawing along with long-format lectures.
Final ReviewYou want a packed review. You prefer slide format with microlectures.
Designed for Success
01MCQ-driven lectureOur courses include hundreds of multiple choice questions to ensure that you’re converting lecture content into actionable knowledge for exam day.02Flexible LearningWith both online and in-person courses, together with different lecture styles, learn radiology physics whenever, wherever, and however makes sense for you.
03Trusted ContentDepend on a course used by thousands of resident physicians over the past decade to pass their radiology board exams.
Testimonials
Hear from radiology residents just like you.
Meet Your
Instructor
Ram Srinivasan MD PhD is a board-certified neuroradiologist and engineer, with a decade of experience in radiology physics education. As course director, Dr. Srinivasan has taught thousands of radiology residents with a focus on passing radiology physics on their board exams.Academic Credentials
Doctor of Medicine - MD2003 - 2009
Doctor of Philosophy - PhD, Electrical Eng. & Computer Science2002 - 2006
Bachelor of Science - BS,
Electrical and Computer Eng.1998 - 2002
Electrical and Computer Eng.1998 - 2002
Research & Contributions
01.
fMRI02.
Bayesian Machine Learning03.
Brain-Machine Interface04.
Endovascular Neurotechnology05.
Education Technology