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| ID | Type | Description | Link |
|---|---|---|---|
| 857324 | Registry Identifier | UPENN IRB |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| One time de-identified Qualtrics Survey | Other |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Once time de-identified Qualtrics survey | Other | Once time de-identified Qualtrics survey |
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| Measure | Description | Time Frame |
|---|---|---|
| Determine whether neurosymbolic AI explainability methods improve the trustworthiness of explanations from a prognostic model, relative to post-hoc explainers. | Oncologist will be invited to complete a vignette-based survey | 3 months |
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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
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Pennsylvania | Philadelphia | Pennsylvania | 19083 | United States |
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| ID | Term |
|---|---|
| D009369 | Neoplasms |
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Consented participants will complete a one time de-identified Qualtrics survey.
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