Our Expert Team
We are a team of doctors with an innovative idea for the use of artificial intelligence (AI) in radiology to provide more accurate and useful diagnoses for patients, with a specific focus on lymph node examination. Our goal is to leverage AI technology to enhance the diagnostic process, leading to improved patient outcomes. By combining our medical expertise with advanced algorithms, we aim to revolutionize the field of radiology and contribute to more precise and effective lymph node analysis.
Dr Cezary Chudobiński
Co-founder/CEO
Dr Cezary Chudobiński is a radiology consultant at The Regional Multi-Specialist Center for Oncology and Traumatology of the Nicolaus Copernicus Memorial Hospital and serves as the Head of the Department of Diagnostic Imaging in the Oncology Center. He graduated from the Medical University in Łódź in 1995, where he completed his training in radiology and received his doctorate in 2003.
Dr Chudobiński has been invited as a speaker to both domestic and international radiology symposiums and congresses. His primary areas of interest include interventional oncological procedures, mainly US- or CT-guided biopsies, and oncological imaging, especially in the field of structured reporting and imaging biomarkers. He has authored publications and chapters in medical books. He has participated in more than a hundred clinical trials and is familiar with intrascatters of radiological assessment of treatment response. Over the last seven years, he has collected materials from over 1000 cases of lymph nodes and created the concept of LN-RADS – the Lymph Nodes Reporting and Data System, improving both the detection of metastatic lymph nodes and communication between radiologists and clinicians. His presentation “LN-RADS – the Lymph Nodes Reporting and Data System – It’s Time to Change the Radiological Assessment of Lymph Nodes” was awarded as “The Best Research Presentation” in “Oncological Imaging” during the European Congress of Radiology in 2022.
In his work, Dr Cezary Chudobiński aims to understand the nature of malignant systemic and cancer diseases, searching for predictors of treatment response or cancer recurrence.
He is particularly fascinated by medical applications of AI, including in US, CT, MRI, PET, especially in the assessment of lymph nodes.
Professor Andrzej Cieszanowski, MD, PhD, is a specialist in the field of radiology and diagnostic imaging. He is the Head of the Department of Radiology at the Institute of Hematology and Transfusion Medicine, as well as the Department of Radiology at the Maria Skłodowska-Curie National Research Institute of Oncology. He is also the President of the Polish Medical Society of Radiology. Professor Andrzej Cieszanowski is a highly experienced radiology expert.
Professor Jarosław Kurek is a highly experienced senior specialist in AI with extensive experience in implementing, maintaining, and monitoring AI technologies in both local and cloud environments. As a Chief Technical Officer and university professor, he has demonstrated knowledge and experience in developing and implementing technical strategies, ensuring technology efficiency and security, and overseeing system infrastructure. As an AI scientist, he has gained experience in machine learning, deep learning, data analysis, and AWS Amazon SageMaker. Professor Kurek also holds master’s, doctoral, and post-doctoral degrees in technical computer science and telecommunications, specializing in AI. He is fluent in various programming languages, environments, and frameworks, such as Python.NET, C#, TensorFlow, and Keras. In addition to his rich professional experience, he holds numerous certificates, diplomas, and publications in the field of AI, demonstrating his commitment to staying up-to-date with the latest advancements in technology.
- Applications of data mining methods in business
- Classic modeling and time series analysis
- Application of machine learning in business
- Application of deep learning in business
- Implementing machine learning models in business
- Deep learning models in image processing
- Comprehensive IT infrastructure maintenance
- IT systems integration for the B2B sector
- Implementation of scoring engines for the system for writing reports Implementation and maintenance of IT services, such as: DNS, DHCP, IIS, Apache, SSL, AD, VLAN, VPN site-site, VPN mobile, Amazon AWS, DFR-R, MSSQL
- Replication, Hyper-V Virtualization, Failover clustering, arrays , DELL servers, Symantec Exec Backup, SNORT, SNORBY, FreeNAS, PfSense, Nagios, monitoring
- C #, WPF, ASP.NET, PHP, XML, XSD, XSLT, RESTAPI, SOAP, JSON, WebServices, Matlab, Python
Professor Bartosz Swiderski is an experienced scientist and engineer involved in the AI industry and data analysis. He has worked for various institutions, including PAS, BNP Paribas, Bank BPH, PKO Bank Polski, PZU S.A., and Samsung Electronics S.A. He is the author of numerous scientific papers on deep learning, image analysis, neural networks, etc. He has received many awards for his scientific achievements and is currently working as a professor at the Institute of Information Technology at Warsaw University of Life Sciences (SGGW), focusing his research interests around AI technology.
- Applications of data mining methods in business
- Classic modeling and time series analysis
- Application of machine learning in business
- Application of deep learning in business
- Implementing machine learning models in business
- Deep learning models in image processing
- Modeling using social networks
- Classical econometric analysis, statistical inference
- Python, Tensorflow, Pytorch, Matlab, etc
- Development and implementation of machine learning / AI models with a special focus on: Generative Adversarial Networks (GANs), metric loss-based networks. Anomaly detection. Processing of artificial biomedical images, etc.