We are on the threshold of the fourth industrial revolution, which is based on the development of artificial intelligence. AI advances also provide an opportunity to improve medical diagnostics. There are currently too few doctors to respond to the needs of an aging society. As a result, specialists are increasingly overworked and access to them is increasingly limited. How can artificial intelligence support doctors in their daily work? Can dedicated solutions improve the diagnosis of diseases and cancer? These are the main research areas of our team.
Our goal is to shape the future of medical diagnostics by developing AI-based solutions. In our research, we focus on the analysis of medical imaging data, such as radiological and histopathological data (digital pathology).
Over the past 30 years, the number of cancer cases has more than doubled and cancer is one of the most common causes of premature death in highly and moderately developed countries. Quick and effective diagnostics, based on radiological and histopathological tests, is of key importance in the fight against cancer. New technologies, the dynamic development of AI and computer vision, and the increase in computational capabilities have contributed to significant progress in digital medical diagnostics. Currently, we can use complex algorithms to detect and segment cancerous areas, classify the occurrence of the disease and predict the response to treatment. These capabilities allow us to support the medical diagnostic process, reducing physician burden, diagnosis time and costs. At the same time, we can track the development and complexity of the disease.
The research we conduct is interdisciplinary and combines areas such as machine learning, biology and medicine. We work closely with medical units and doctors to develop new algorithms supporting medical diagnostics and to better understand the development of cancer diseases.
Piotr Sankowski