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Revolution in radiation therapy: Eberswalde relies on AI technology!
The GLG Werner Forßmann Klinikum Eberswalde is conducting research in the “Health AI” AI project to improve radiation therapy for cancer patients.
Revolution in radiation therapy: Eberswalde relies on AI technology!
The GLG Werner Forßmann Klinikum Eberswalde is conducting research into the future of radiation therapy. As part of the Interreg Pomerania project “Health AI”, the partner clinics are committed to further optimizing cancer treatment through artificial intelligence (AI). The aim is to improve the precision, safety and efficiency of radiotherapy, which not only benefits patients but also relieves the burden on medical staff.
An expert exchange forum took place on October 23rd at the Forßmann Clinic. The participants included representatives from the University Hospitals of Greifswald and Stettin as well as the Medical University of Lausitz – Carl Thiem (University Hospital of Cottbus). Chief Physician Ralph Schrader highlighted the importance of this forum and provided insight into the use of AI technology in radiation therapy. The use of a real-time tracking system during irradiation promises to significantly increase treatment accuracy.
Advantages of AI in radiation therapy
The AI system offers many advantages: maximum precision during irradiation protects organs at risk, patient safety is increased through real-time monitoring, and the treatment time per session is shortened. Even permanent skin markings are no longer necessary. This increase in efficiency enables faster processes, which is very popular these days.
The event promoted the exchange of innovative approaches, with representatives such as MD Bartlomiej Masojc from the University Hospital of Szczecin presenting the combination of radiology and AI. Over 10,000 patients have already been successfully treated with the MIM tool. Susanne Hengst, head of radiology in Eberswalde, emphasized that although AI cannot replace radiologists, it will change the profession enormously.
The challenges of AI in healthcare
However, implementing AI into medical practice also presents challenges. As noted on gesundheit.bund.de, AI must be trained with high-quality and appropriate data in order to deliver precise results. In addition, users must be trained in order to be able to react to any misjudgments. Overreliance on AI technologies also risks people forgetting important skills.
The project in Eberswalde is an example of the change that AI can trigger in healthcare. It is seen as an important step in positioning the region as a driver of innovation in oncological care. The region benefits from this modern approach, which not only benefits patients but also medical staff.
Healthcare faces the exciting adventure of integrating AI as a valuable partner, while at the same time maintaining the human touch and expertise that is always necessary. The coming challenges should be addressed wisely and responsibly. AI can not only revolutionize the medical landscape, but also help take patient care to a new level.