Project Details
Description
Motivation
Breast cancer is the most common cancer among women. Many patients undergo chemotherapy before surgery, which significantly reduces the size of the tumor. As a result, it often becomes difficult to feel or see, making precise removal during surgery more challenging. Technologies based on artificial intelligence (AI) could make breast-conserving surgery safer and more successful.
Goals and approach
The aim of the project is to make breast tumors more visible and easier to locate after chemotherapy. To achieve this, the researchers are combining new tissue markers that are easily detectable by ultrasound with AI-supported image analysis. The artificial intelligence evaluates the images in real time and assists doctors in locating the tumor during surgery. The system displays marked areas, facilitating the safe removal of tumor tissue. The system is based on a large database of ultrasound and X-ray images, which the research team collects during the project and prepares for AI training. At the same time, it is testing the technology in everyday clinical practice and working with surgeons to develop it further so that it can be used easily and reliably.
Innovations and Prospects
The project has the potential to replace the markers used to date, which are not always reliable, with a marker that is visible on ultrasound and optimized for intraoperative detection. An approved medical device could gently improve treatment, reduce costs in the healthcare system, and set new standards in cancer surgery.
Breast cancer is the most common cancer among women. Many patients undergo chemotherapy before surgery, which significantly reduces the size of the tumor. As a result, it often becomes difficult to feel or see, making precise removal during surgery more challenging. Technologies based on artificial intelligence (AI) could make breast-conserving surgery safer and more successful.
Goals and approach
The aim of the project is to make breast tumors more visible and easier to locate after chemotherapy. To achieve this, the researchers are combining new tissue markers that are easily detectable by ultrasound with AI-supported image analysis. The artificial intelligence evaluates the images in real time and assists doctors in locating the tumor during surgery. The system displays marked areas, facilitating the safe removal of tumor tissue. The system is based on a large database of ultrasound and X-ray images, which the research team collects during the project and prepares for AI training. At the same time, it is testing the technology in everyday clinical practice and working with surgeons to develop it further so that it can be used easily and reliably.
Innovations and Prospects
The project has the potential to replace the markers used to date, which are not always reliable, with a marker that is visible on ultrasound and optimized for intraoperative detection. An approved medical device could gently improve treatment, reduce costs in the healthcare system, and set new standards in cancer surgery.
| Status | Active |
|---|---|
| Effective start/end date | 01.11.25 → 31.10.28 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
Funding Institution
- Federal Institutions
Research Areas and Centers
- Research Area: Luebeck Integrated Oncology Network (LION)
- Centers: Center for Artificial Intelligence Luebeck (ZKIL)
DFG Research Classification Scheme
- 2.22-21 Gynaecology and Obstetrics
- 2.22-14 Hematology, Oncology
- 2.22-07 Medical Informatics and Medical Bioinformatics
- 4.43-04 Artificial Intelligence and Machine Learning Methods
KDSF Research Field Classification Scheme
- 073 - Artificial intelligence and big data
- 530 - Therapy and Healing
ASJC Subject Areas
- Artificial Intelligence
- Oncology
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