Dr. Daniel Truhn is a board-certified radiologist at the Department of Diagnostic and Interventional Radiology, University Clinic of Aachen where he leads a research team focusing on the deployment of Artificial Intelligence in medical imaging. At the start of a joint research project in Aachen, he joined the Medical Advisory Board of Nano4Imaging. ‘MRI has advantages in showing better soft tissue contrast as well as functional information and provides a wealth of diagnostic detail.’
Easier to identify the target
Daniel Truhn studied physics in Aachen and London and medicine in Aachen where he also obtained his MD and PhD. Since 2012, he has worked as a radiologist and researcher for the Department of Diagnostic and Interventional Radiology in Aachen. ‘With my team of four PhD students, we are developing machine learning models that we intend to bring to clinical use. We think these will play an important role in the future in making diagnoses and providing prognostic information.
Daniel does not expect AI and ML to make the job of radiologist obsolete in the near future. ‘No, the algorithms that we are developing support the clinicians in assessing images and making diagnoses. By using AI, medical doctors can work more efficiently and make more accurate diagnoses. AI serves medical science, not the other way around.’
Daniel Truhn’s research group does not work with products marketed by Nano4Imaging. Still, he agreed to serve on the Medical Advisory Board. ‘Using MRI during interventional procedures can have benefits: first, the patient is not exposed to harmful radiation – neither is the doctor performing the intervention. Second, using the superior soft tissue contrast of MRI and the three-dimensional imaging capabilities, the target area might be more accurately identifed.’
The development by Nano4Imaging of a guide wire with markers inthe tip is certainly innovative in this regard. ‘It could help to establish the use of MRI in interventional procedure : catheters or guidewires without such markers, interventional devices such as wires and catheters are barely visible in MRI. With these markers, the interventional radiologist can clearly see the tip of the device and position it accordingly.’
Nano4Imaging is pleased to have Daniel Truhn on the board. ‘Certainly. For us the cooperation with the University Clinic of Aachen is very important. For example because a lot of research is done here on the applications of MRI technology, precisely our market. Ultimately, the intention is that operations on, for example, the heart, liver and other organs, will also take place with accompanying MRI images. Data are essential in this regard, and so Daniel’s research field is very interesting to us.