Improving how pathologists use computer tools for diagnosing diseases.
Official title: Optimizing the Human-Computer Interaction in Pathology: Understanding the Impact of Computer-Aided Diagnosis Tools on Pathologists' Interpretive Performance
Funded at University of California Los Angeles · NIH-11048956 · Data updated 2026-11-12
This study is looking at how helpful computer tools can be for doctors who diagnose cancer, by seeing how different types of prompts from these tools affect their accuracy and decision-making, with the hope of improving patient care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project start | December 20, 2024 |
| Project end | November 30, 2029 |
| Funding year | 2025 |
| Award (this year) | $591,606 |
| NIH project number | 1R01CA288824-01A1 |
| Project ID | NIH-11048956 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research include patients undergoing diagnostic evaluations for cancer or other serious conditions.
✕Less likely to help
Patients who are not undergoing diagnostic evaluations or those with conditions that do not require pathology assessments may not benefit from this research.
What this research studies
This research investigates how computer-aided diagnosis (CAD) tools can assist pathologists in making accurate diagnoses, particularly in cancer detection. By studying the effects of different types and timings of CAD cues on a large group of pathologists, the research aims to understand how these tools influence diagnostic performance. The study will involve randomizing 250 pathologists to assess how various CAD cues affect their interpretive behavior and accuracy during diagnosis. The goal is to develop best practices for integrating CAD tools into clinical settings to enhance patient care.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic accuracy for patients, particularly in cancer detection.
How similar studies have gone: Previous research in radiology has shown that CAD tools can significantly impact diagnostic accuracy, indicating that this approach may yield valuable insights in pathology as well.
Where this research is happening
-
University of California Los Angeles
Los Angeles, United States Active
Researchers
- Principal investigator: Elmore, Joann G — University of California Los Angeles
- Study coordinator: Elmore, Joann G
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.