Improving AI for detecting and classifying lymph node cancer
Official title: FY 2023 SBIR TOPIC 402 PHASE II. ENHANCE THE PERFORMANCE OF THE AI FOR LYMPH NODE DETECTION, SEGMENTATION AND MEASUREMENTS AND DEVELOP ADDITIONAL AI MODELS FOR MALIGNANCY CLASSIFICATION LEVERAGING MU
Funded at Carina Medical, LLC · NIH-10928777 · Data updated 2026-11-12
This study is working on making an AI tool better at finding and analyzing lymph nodes in MRI and CT scans, which will help doctors give more accurate cancer diagnoses and treatment plans, ultimately aiming to improve care for cancer patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Carina Medical, LLC NIH-funded |
| Lab location | 1 site (Ashburn, UNITED STATES) |
| Project start | September 18, 2023 |
| Project end | September 17, 2025 |
| Funding year | 2023 |
| Award (this year) | $2,000,000 |
| NIH project number | 75N91023C00051-0-9999-1 |
| Project ID | NIH-10928777 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients undergoing imaging for suspected lymph node malignancies.
✕Less likely to help
Patients without lymph node involvement or those not requiring imaging for cancer evaluation may not benefit from this research.
What this research studies
This research focuses on enhancing an AI software called OncoAI, which is designed to automatically detect and segment lymph nodes from MRI and CT scans. By improving the accuracy of lymph node detection and malignancy classification, the research aims to reduce variability in diagnoses and streamline treatment planning for cancer patients. The project will also involve a multi-institutional validation study to ensure the software's effectiveness and safety in clinical settings. Ultimately, the goal is to integrate this AI technology into everyday clinical workflows to improve patient outcomes.
Why it matters
Potential benefit: If successful, this research could lead to more accurate cancer diagnoses and better treatment planning for patients with lymph node involvement.
How similar studies have gone: Previous research has shown promise in using AI for medical imaging, indicating that this approach could lead to significant advancements in cancer care.
Where this research is happening
-
Carina Medical, LLC
Ashburn, United States Active
Researchers
- Principal investigator: Feng, Ph.d., Xue — Carina Medical, LLC
- Study coordinator: Feng, Ph.d., Xue
Related research
Other NIH-funded projects on the same topics.
-
Detecting cancer risk and treatment response in NF1 nerve tumors using cfDNA markers
A doctor-led study will test blood-based DNA markers to detect when NF1-related nerve tumors become malignant and to monitor how well treatment is working.
-
Epigenetic Basis for Controlling Aggressive IDH-Mutant Gliomas
Aims to understand and shape the epigenetic changes in IDH-mutant brain tumors to restrain their growth, which could lead to new, targeted treatment options for patients.
-
US–East Africa center to prevent and detect virus-linked cancers in people with HIV
This program builds a US–East Africa research network to train local investigators and improve prevention, earlier detection, and faster connection to care for virus-related cancers in people with HIV.
-
U.S.–East Africa program to prevent, detect early, and link people with HIV-related cancers to care
This program brings U.S. and East African teams together to help people with HIV by improving prevention, earlier detection, and faster connection to care for cancers linked to the virus.
-
U.S.–East Africa center to prevent and find HIV-related cancers and speed connection to care
This program builds a U.S.–East Africa team to improve prevention, earlier detection, and faster linkage to care for people with HIV at risk for cervical cancer and Kaposi’s sarcoma.
-
Boosting TET Activity to Help Treat AML with Vitamin C
Vitamin C may help people with a type of blood cancer (AML) by boosting a natural anti-cancer pathway, potentially improving outcomes for adults with this disease.
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.