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

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.

Eligibility

Age range

Not specified

Sex

All

Healthy volunteers

No

Interventions

• Other
  Once time de-identified Qualtrics survey

  Once time de-identified Qualtrics survey

Location