Assessing Perceptions of ML Explanations by Medical Oncologists
NCT06699615 · Status: ENROLLING_BY_INVITATION · Phase: NA · Type: INTERVENTIONAL · Enrollment: 50
Last updated 2026-04-06
Summary
The objective of this proposal is to conduct a vignette-based survey among practicing oncology clinicians who treat non-small cell lung cancer to assess the trustworthiness of explainable predictions from a neurosymbolic AI vs. State-of-the-art post-hoc explanatory algorithms, using simulated patient data.
Conditions
Interventions
- OTHER
-
Once time de-identified Qualtrics survey
Once time de-identified Qualtrics survey
Sponsors & Collaborators
-
Abramson Cancer Center at Penn Medicine
lead OTHER
Study Design
- Allocation
- NA
- Purpose
- OTHER
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-12-02
- Primary Completion
- 2028-04-15
- Completion
- 2028-04-15
Countries
- United States
Study Locations
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