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From Idea to Implementation: Navigating the AI Development Journey in Healthcare

About

Want to fully understand the entire lifecycle of AI model development and deployment in the healthcare space? From ideation to successful implementation, medtech startup Sycai will share the critical lessons learned from their journey of developing their AI model for the early detection of pancreatic, kidney, and liver focal lesions and how they validated it using deepc’s deepcOS platform at the University Hospital Erlangen.

Agenda

  • From Concept to Prototype: Learn how Sycai identified the challenges of detecting small focal lesions and turned that into a prototype model, ready for validation and clinical deployment.
  • Ensuring Model Performance & Compliance: Gain insights into the rigorous testing and validation process, ensuring the AI model meets clinical standards and regulatory requirements.
  • Real-world Deployment: Discover the challenges faced during deployment and how Sycai seamlessly integrated their model into existing radiology workflows using deepcOS®.

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Speakers

Mehmet Yiğitsoy
Principal AI Engineer | Head of AI Labs, deepc GmbH

Mehmet Yiğitsoy is an expert in image processing, computer vision, and artificial intelligence, having earned his PhD degree from the Technical University of Munich (TUM). He currently leads the AI labs team at deepc GmbH, overseeing academic collaboration projects and focusing on AI orchestration, evaluation, business intelligence, and NLP. Mehmet has also contributed to advancements in healthcare technology at various healthcare companies including Konica Minolta, Carl Zeiss Meditec, and Definiens, specializing in developing AI and image processing algorithms. His work is characterized by interdisciplinary collaboration and a commitment to advancing healthcare technology, underscored by numerous publications in leading scientific journals.

Javier García López
AI Developer, Sycai Medical

Javier is a robotics engineer and Master in Informatics, having earned his PhD in the Technical University of Catalonia (UPC) and his master at the Technical University of Munich (TUM). After several years in the field of image analysis, computer vision and software development he decided to start his own company in 2020 and became the CTO and co-founder of Sycai Medical, where he is in charge of leading the product development team, from the AI algorithms to the infrastructure, visualization and customer installations. At Sycai they develop a software as a medical device based on Deep Learning that aims to prevent the appearance of abdominal cancer through the early identification of pre-cancerous imaging biomarkers or findings. While they develop an AI based platform for the whole abdomen their first product for the detection and characterization of pancreatic lesions has just obtained the CE Mark as class IIb and they are signing the first sales and partnership through Europe. Moreover, in March 2024 they started their first pilot in the US with a well-known KOL for which they are really proud of.