NCT06699615Enrolling By Invitation不适用
Survey of Medical Oncologists to Assess Trustworthiness of Various Approaches to AI Explainability for Prognostic Models
适应症
干预措施
试验速览
- 阶段
- 不适用
- 状态
- Enrolling By Invitation
- 入组人数
- 50
- 试验地点
- 1
- 主要终点
- Determine whether neurosymbolic AI explainability methods improve the trustworthiness of explanations from a prognostic model, relative to post-hoc explainers.
研究概览
简要总结
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Other
- 盲法
- None
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •"Medical oncologist" or "Hematologist/Oncologist" designation at Penn Treats lung cancer
排除标准
- •Non-medical oncologists No email address or physical address listed Does not treat lung cancer
研究组 & 干预措施
One time de-identified Qualtrics Survey
Other
干预措施: Once time de-identified Qualtrics survey (Other)
结局指标
主要结局
Determine whether neurosymbolic AI explainability methods improve the trustworthiness of explanations from a prognostic model, relative to post-hoc explainers.
时间窗: 3 months
Oncologist will be invited to complete a vignette-based survey
次要结局
未报告次要终点
研究者
研究点 (1)
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