Amsterdam UMC has started using an AI-powered tool to help radiologists detect early signs of lung cancer from CT scans. Developed with Aidence, this technology aims to support clinical decision-making and improve patient outcomes. Learn more about how AI is being integrated into cancer diagnostics.
Amsterdam UMC has introduced a new artificial intelligence (AI) tool designed to assist radiologists in the early detection of lung cancer. The tool, developed in collaboration with Dutch startup Aidence, analyzes CT scans to identify potential nodules that may indicate early-stage lung cancer.
This initiative aims to support clinicians by providing a second opinion during routine screenings, potentially improving diagnostic accuracy and reducing the rate of missed findings. The AI solution has undergone validation using anonymized patient data and is now being integrated into clinical workflows at Amsterdam UMC.
The deployment reflects ongoing efforts across Europe to leverage AI technologies for enhanced diagnostic support in oncology. For more information, visit Amsterdam UMC.
Amsterdam UMC has started using an AI-powered tool to help radiologists detect early signs of lung cancer from CT scans. Developed with Aidence, this technology aims to support clinical decision-making and improve patient outcomes. Learn more about how AI is being integrated into cancer diagnostics.