Using AI to improve the diagnosis of abdominal cancers through visual explanations.
Official title: SCH: Visual explanation-guided learning for human-AI collaborative abdominal cancer diagnostic imaging
Funded at Emory University · NIH-11063449 · Data updated 2026-11-12
This study is working on using artificial intelligence to help doctors spot abdominal cancers earlier by making it easier for the AI to explain its findings, which could lead to quicker and more accurate diagnoses for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Emory University NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project start | September 15, 2024 |
| Project end | August 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $290,511 |
| NIH project number | 1R01CA297856-01 |
| Project ID | NIH-11063449 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals at risk for abdominal cancers, particularly those who may not have access to regular screenings.
✕Less likely to help
Patients with confirmed abdominal cancers who are already undergoing treatment may not benefit directly from this research.
What this research studies
This research focuses on enhancing the early detection of abdominal cancers by utilizing artificial intelligence (AI) to analyze diagnostic imaging. It aims to develop a computational framework that uses visual explanations to help AI systems communicate more effectively with medical practitioners. By addressing challenges such as small training data and the complexity of AI reasoning, the project seeks to improve the accuracy and reliability of cancer diagnoses. Patients may benefit from more precise and timely identification of tumors, potentially leading to better treatment outcomes.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate diagnoses of abdominal cancers, improving patient outcomes.
How similar studies have gone: Other research has shown promise in using AI for diagnostic imaging, indicating that this approach could lead to significant advancements in cancer detection.
Where this research is happening
-
Emory University
Atlanta, United States Active
Researchers
- Principal investigator: Zhao, Liang — Emory University
- Study coordinator: Zhao, Liang
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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.