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Assessing Perceptions of ML Explanations by Medical Oncologists
Sponsor: Abramson Cancer Center at Penn Medicine
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.
Official title: Survey of Medical Oncologists to Assess Trustworthiness of Various Approaches to AI Explainability for Prognostic Models
Key Details
Gender
All
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
50
Start Date
2024-12-02
Completion Date
2028-04-15
Last Updated
2026-04-06
Healthy Volunteers
No
Conditions
Interventions
Once time de-identified Qualtrics survey
Once time de-identified Qualtrics survey
Locations (1)
University of Pennsylvania
Philadelphia, Pennsylvania, United States