Our Expert Team
We are a team of professionals, doctors, with an innovative idea regarding the use of AI in radiology to provide more accurate and beneficial diagnostics for patients, specifically focusing on lymph node examinations. 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 Chudobinski is a consultant of Radiology at the Copernicus Regional Multi-Speciality Oncology and Trauma Centre in Lodz in Poland – a Head of Radiology Department in Oncology Center. He graduated in medicine at the Medical University in Lodz in 1995. In 2003 he completed there his radiology training and doctorate.
Dr Chudobinski has been an invited speaker at domestic and international radiology symposiums and congresses.
His primary area of interest with regards to interventional oncological procedures mainly biopsies under US or CT and oncological imaging, especially in field of structured reporting and imaging biomarkers.
He has authored of publications and chapters in medical books. In his radiological career he participated in over hundred medical trials and he is familiar with intrascatters of radiological assessment of treatment response.
During last 7 years he collected materials over 1000 cases of lymph nodes and created a conception of LN-RADS – lymph nodes reporting and data system, improving detection of metastatic lymph nodes and communication between radiologist and clinicians.
His presentation “The 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 European Congress of Radiology in 2022.
Dr Cezary Chudobinski in his work try to understand the nature of malignat systemic and cancer diseases, searching for predictors of treatment response or cancer recurrence.
He is fascinated by AI in medicine especially lymph nodes assessment including US, CT,MRI, PET.
Prof. Andrzej Cieszanowski, MD, PhD, is a specialist in the field of radiology and diagnostic imaging. He serves as the Head of the Department of Radiology at the Institute of Hematology and Transfusion Medicine, as well as the Department of Radiology I at the National Cancer Institute – Maria Sklodowska-Curie Institute of Oncology, a State Research Institute. He is also the President of the Polish Medical Society of Radiology. Prof. Andrzej Cieszanowski is highly expierienced radiology expert.
Prof. Jarosław Kurek is a highly experienced senior Artificial Intelligence (AI) specialist with strong experience in implementing, deploying, maintaining, and monitoring AI methods in both local and cloud environments. Holding various roles, such as Chief Technical Officer and university professor, Jarosław has demonstrated knowledge and experience in developing and implementing technical strategies, ensuring technology efficiency and security, and overseeing system infrastructure. As an Artificial Intelligence (AI) scientist, he has experience in machine learning, deep learning, data analysis, and AWS Amazon SageMaker. Jarosław holds a master’s, doctorate, and post-doctoral degrees in technical computer science and telecommunications, specializing in artificial intelligence. He is fluent in various programming languages, environments, and frameworks, such as Python, .Net, C#, TensorFlow, Keras, and others. In addition to his rich professional experience, Jarosław holds numerous certificates, diplomas, and publications in the field of Artificial Intelligence (AI), which showcase 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
Prof. 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., Samsung Electronics S.A. He has published numerous scientific articles 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 artificial intelligence methods.
- 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.