Radiotherapy plays an important role in the treatment of cancer. For each patient suffering from cancer receiving radiation treatment, a detailed treatment plan has been drawn up to determine where and how radiation therapy is conducted. The factors to be considered in the treatment plan include the size and location of the tumor, as well as possible metastases. So far, the physician has had to define the radiotherapy goal by manually delimiting the structure to multiple images of the patient. These images can be moved in hundreds and draw critical tissue structures in tithes, resulting in a long-lasting error-prone process. AI MVision has been trained with hundreds of images of hundreds of patients, which allows the software to automatically determine the critical tissue structure for a doctor to review and approve.
"AI in radiation therapy planning is used by cancer patients worldwide," said MVision Mahmudul Hasan, Executive Director. "23rd In January, we started planning radiotherapy using AI in two hospitals; Department of Oncology and Radiotherapy at Turks University Hospital (Tyks) and Docrates Cancer Center in Helsinki. Initial application of AI software is aimed at patients with prostate cancer, but software will soon be hosting other cancer sites, including cancer of the head and neck and breast cancer.
"AI provides personalized care for cancer patients. As the software takes care of the underlying radiation treatment planning process, the doctor may focus more on individual patient needs, such as taking into account the spread and aggressiveness of cancer, "said Assistant Professor and Medical Physician Timo Kiljunen of the Docrates Cancer Center.
"AI accelerates medical work and allows repeated and unique hospital-level treatment plans, not just at the level of individual doctors. With a large number of cancer patients, quick treatment planning can also help in waiting, "said Professor and Head of Department of Oncology and Radiotherapy, Heikki Minn.
For its next step, MVision seeks to enter the global market. "As the number of cancer patients continues to grow, in many European countries there is still a critical shortage of qualified hospital staff. This problem can be alleviated with the help of our AI, while at the same time ensuring a high and uniform radiation quality for all patients, which also helps in waiting time, "Hasan said.