Core Viewpoint - The SHERPA project, coordinated by Royal Philips, aims to enhance minimally invasive treatments for brain aneurysms and liver tumors through AI- and robotics-assisted workflows, addressing the challenges posed by staff shortages and increasing procedural complexity [1][5][9]. Group 1: Project Overview - The SHERPA project is a four-year initiative with a total budget of EUR 21.5 million, co-funded by the European Union Innovative Health Initiative and industry partners [2][5]. - The project involves 16 partners from seven European countries, focusing on developing automated workflows for neurovascular and tumor treatments [2][5]. Group 2: Clinical Studies and Technologies - Seven clinical studies have been initiated to validate AI-powered technologies in imaging, data visualization, procedure planning, and clinical decision support [1][11]. - The project has successfully developed AI algorithms for identifying brain aneurysms needing treatment and optimizing therapy planning for liver tumor ablation [10][11]. Group 3: Addressing Workforce Challenges - The World Health Organization predicts a shortage of 600,000 physicians in the EU by 2030, with significant shortages in interventional radiology [7]. - The SHERPA project aims to relieve pressure on physicians by automating repetitive tasks and enhancing decision-making, thereby improving patient access to complex procedures [7][9]. Group 4: Future Implications - The project will generate insights to support the acceptance and adoption of AI-based assistive technologies within the interventional radiology community [11][12]. - A dedicated session on SHERPA will be featured at the European Congress of Radiology 2026, highlighting innovations in assistive technologies for interventional radiologists [6].