Assessing Perceptions of ML Explanations by Medical Oncologists

Survey of Medical Oncologists to Assess Trustworthiness of Various Approaches to AI Explainability for Prognostic Models

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.

Inclusion Criteria "Medical oncologist" or "Hematologist/Oncologist" designation at Penn Treats lung cancer

Exclusion Criteria:

Non-medical oncologists No email address or physical address listed Does not treat lung cancer