Assessing Perceptions of ML Explanations by Medical Oncologists

Enrolling by invitation · Not applicable

Conditions studied: Oncology

In brief

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.

Key facts

Study ID

NCT06699615

Run by

Abramson Cancer Center at Penn Medicine

People needed

50

Starts

2024-12-02

Expected to finish

2028-04-15

Last updated by the study team

2026-04-06

Who can join

Age: any. Sex: any. Healthy volunteers: not accepted.

You may not qualify if…

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

Where it is running

• University of Pennsylvania — Philadelphia, Pennsylvania, United States

Full record on ClinicalTrials.gov

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