Assessing Perceptions of ML Explanations by Medical Oncologists

Abramson Cancer Center at Penn Medicine

Status: Invitation-only

Conditions: Oncology

Treatments: Other: Once time de-identified Qualtrics survey

Study type: Interventional

Funder types: Other

Identifiers

NCT06699615

29524

857324

Details and patient eligibility

About

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.

Enrollment: 50 estimated patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion and exclusion criteria

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

Trial design

Primary purpose: Other

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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50 participants in 1 patient group

One time de-identified Qualtrics Survey

Other group

Treatment:

Other: Once time de-identified Qualtrics survey