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OncologyNCT06699615

Assessing Perceptions of ML Explanations by Medical Oncologists

A study testing Once time de-identified Qualtrics survey in people with Oncology, run by Abramson Cancer Center at Penn Medicine at 1 site in United States.

Enrolling by invitation

Enrolling by invitation. The study team selects and invites participants, usually from an existing group of patients.

Sites and contacts
Official record
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Trial 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. Read more about this study

Who is it for?
Any age
Conditions the study is for
Oncology
What is being tested?
Once time de-identified Qualtrics survey
Could I receive a placebo?
No, everyone receives an active treatment
How many people
50 participants
Where
1 siteUnited States
Study dates
2 Dec 2024to 15 Apr 2028
Phase
Interventional
Are there results?
Not yet: the study is under way

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages Any age
  • All sexes
  • No healthy volunteers
  • Child, Adult, Older adult

Who may be able to join

None listed.

Who cannot join

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

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

United States1 site
  • University of Pennsylvania

    Philadelphia, Pennsylvania, 19083

Other trials in United States

About this study

Official title: 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.

Conditions
Oncology
Being tested
Once time de-identified Qualtrics survey
Medical subject headings
Neoplasms

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Once time de-identified Qualtrics surveyOther

    Once time de-identified Qualtrics survey

Study groups in NCT06699615
Study groupRoleWhat they receive
One time de-identified Qualtrics SurveyOtherNot described
Receives: Other: Once time de-identified Qualtrics survey

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. 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

    Measured: 3 months

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted21 Nov 2024
  2. Study start2 Dec 2024
  3. Primary completion15 Apr 2028 (estimated)
  4. Study completion15 Apr 2028 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Other
Allocation
Not applicable
Intervention model
Single group
Model description
Consented participants will complete a one time de-identified Qualtrics survey.
Masking
None (open label)
Enrolment
50 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT06699615
Sponsor's protocol ID
29524
Other IDs
857324
Status last verified
Apr 2026
First submitted
19 Nov 2024
Last updated
6 Apr 2026
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No

Questions about this trial

What is this clinical trial studying?

A study testing Once time de-identified Qualtrics survey in people with Oncology, run by Abramson Cancer Center at Penn Medicine at 1 site in United States.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 0 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: enrolling by invitation, as of the sponsor's last update on 6 Apr 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Determine whether neurosymbolic AI explainability methods improve the trustworthiness of explanations from a prognostic model, relative to post-hoc explainers. (time frame: 3 months). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 6 Apr 2026.

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