NIH-funded research R01 grant

Explainable AI to help doctors detect abdominal cancers on scans

Official title: SCH: Visual explanation-guided learning for human-AI collaborative abdominal cancer diagnostic imaging

Funded at Emory University · NIH-11172611 · Data updated 2026-11-12

This project trains AI to highlight and explain suspicious areas on CT and MRI scans to help doctors find abdominal cancers earlier.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionEmory University
NIH-funded
Lab location1 site (Atlanta, United States)
Project startSeptember 15, 2024
Project endAugust 31, 2028
Funding year2025
Award (this year)$290,511
NIH project number5R01CA297856-02
Project IDNIH-11172611 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates are people getting abdominal CT or MRI scans for symptoms, surveillance, or because they are at higher risk for abdominal cancers.

Less likely to help

People without abdominal imaging, those with non-abdominal cancers, or patients whose disease is already clearly diagnosed and advanced are unlikely to benefit directly.

What this research studies

If you participate, researchers will use your de-identified abdominal CT or MRI scans to train an AI that points out and visually explains suspicious regions. The AI will learn from doctor feedback so it improves even when there are few example scans. Clinicians will review the AI highlights and corrections so the system and doctors can work together to reduce missed small tumors. The team aims to make imaging results clearer, faster, and more trustworthy for patients and clinicians.

Why it matters

Potential benefit: If successful, this work could lead to earlier and more accurate detection of abdominal cancers by giving doctors clearer, explainable AI guidance.

How similar studies have gone: Explainable AI has shown encouraging results in medical imaging generally, but using visual-explanation guided learning specifically for abdominal cancer detection is relatively new.

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

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.