We lead the way with our innovative advances in radiomics and pancreatic research, showcased at SERAM (Sociedad Española de Radiología Médica) and CARS (Computed Assisted Radiology and Surgery) in Barcelona, and Marató Científica in Mataró.
At these conferences, we presented a radiomic machine learning model designed to classify pancreatic cystic lesions. This model focuses on identifying patients with mucinous lesions, which are predictive of potential malignancy in the future.
At SERAM, we demonstrated a scientific approach where expert radiologists gathered in a global hub for education, innovation, and collaboration in the field of radiology. CARS, as the leading platform for computer-assisted technology and surgery, provided a space for tech experts to share their knowledge and latest works.
Daniel Cañadas during CARS presentation
Montserrat Duh, MD; Neus Torra Ferrer, MD;
& Júlia Rodríguez Comas, PhD during SERAM
Our latest work
Classification of pancreatic cystic lesions: Integration of radiology and radiomics with external validation
Maria Montserrat Duh, MD I Radiology Department, Hospital de Mataró (Consorci Sanitari del Maresme) Marató Científica 2024
Neus Torra Ferrer, MD I Radiology Department, Hospital de Mataró (Consorci Sanitari del Maresme) SERAM 2024
Development and validation of a radiomics-based classification model of pancreatic lesions on CT scan images
D. Cañadas-Gómez I Sycai Technologies S.L [CAD-AI-LE-122] https://www.cars-int.org/fileadmin/Benutzerdaten/file_uploads/CARS2024_program.pdf
Sara Toledano, Co-founder and CEO of Sycai Medical, states: "Having three abstracts presented and approved at these congresses underscores Sycai’s dedication to advancing healthcare through cutting-edge imaging solutions. We understand the significant impact our products have on real lives, driving us to continually improve and innovate in line with the latest scientific and industry developments. We are excited to share our newest findings with the community."
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