Screening in Radiology
Recorded 2026-10-14 Spring 2027
Screening in Radiology
Clinical experience in diagnostic radiology focusing on applying population health and epidemiology principles to screening exam selection.
offering recorded2 credits
Recorded instructors · Spring 2027 No instructors listed
Summary
What you’ll be able to do
Define and describe the basic elements of a screening test
Explain common misconceptions of screening tests and epidemiology
Present factors that explain varying rates of screening in different countries and factors that influence decision-making in these regions
List the pros and cons of different screening options and compare them to those for invasive alternatives
Explain the advantages and disadvantages of screening outcomes to a hypothetical patient
Predict and explain potential outcomes and associated next steps after screening to a hypothetical patient
Determine the actual costs of screening to patients based on insurance coverage or lack thereof
Describe potential sources of bias in screening tests including lead time bias, length time bias, and selection bias. Explain how appropriate study design for screening program evaluation can overcome these sources of bias.
Calculate and define sensitivity, specificity, positive predictive value, and negative predictive value of a screening test. Describe how these values will or will not be altered as the disease prevalence changes.
Discuss an example of healthcare disparities related to imaging screening
Source: UW Guide
Grade history
↗ average GPA
00 letter grades
No recorded grade history.
All recorded terms · compare terms & instructors
Prerequisites
Course mapMED SC-M 810, 812, 813, and 911
RADIOL 928
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| SEM 010 | Classroom Instruction | 0 / 4 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Clinical experience on diagnostic radiology service. Apply population health and epidemiology principles to screening exam selection in radiology. Participate in interdisciplinary conversations surrounding patient care. Practice in patient-centered communication and in creating a case report.
difficulty & workload
No workload feedback recorded.
Topics
- Screening exam selection using population health and epidemiology
- Interdisciplinary patient care conversations
- Sources of bias in screening tests and study design
Skills
- Applying population health and epidemiology principles to screening exam selection
- Patient-centered communication and case report creation
- Calculating and defining diagnostic test metrics like sensitivity and specificity
Grades
Instructor
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Sources & history
UW–Madison
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
Raw records
[
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:832:026148",
"course_id": "RADIOL 928",
"course_uid": "course_e909363b822d014b16f36a71",
"term_id": "1274",
"source_course_id": "026148",
"source_subject_id": "832",
"title": "Screening in Radiology",
"credits_min": 2,
"credits_max": 2,
"typically_offered": "Not Applicable"
}
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Madgrades
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesDataset & model
View the dataset on Hugging Face Recorded 2026-10-14
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "9f516d6710f7f73cdb4f52eb86a13d04e5f578d90a851831d81674529cdd412d",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}