ContourAId

ContourAId

AI-driven contouring for radiation oncology leading to faster, accurate, and reliable treatment planning.

ContourAId Research Selected for Falling Walls Science Summit 2024

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ContourAId’s research has been selected as one of 100 “lab” pitches from researchers across more than 60 countries at the prestigious Falling Walls Science Summit 2024 in Berlin. This event commemorates the 35th anniversary of the fall of the Berlin Wall and brings together breakthrough research from around the globe.

The selection highlights the international recognition of ContourAId’s innovative approach to addressing critical challenges in radiation oncology. The Falling Walls Science Summit provides a platform for presenting groundbreaking research that has the potential to “break down walls” in science and society.

This recognition underscores ContourAId’s position at the forefront of AI-driven innovation in medical imaging and radiotherapy, and reinforces our commitment to developing solutions that can make a meaningful global impact on cancer treatment.

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Invited Talk at SASRO 2025: Fast and Reliable Dosimetric Contour QA

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ContourAId’s research was featured at SASRO 2025, the Annual Scientific Association of Swiss Radiation Oncology conference in Davos. Amith Kamath delivered an invited talk on “Fast and Reliable Dosimetric Contour QA,” presenting key findings from his doctoral research that form the foundation of ContourAId’s quality assurance capabilities.

ContourAId Founder Selected as University of Bern Venture Fellow

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Amith Kamath, founder of ContourAId, has been selected as one of five University of Bern Venture Fellows for 2025-26. This prestigious fellowship supports entrepreneurial initiatives in technology transfer and innovation, providing resources and mentorship to transform research breakthroughs into real-world applications.

ContourAId Team Member Wins CAIM Research Award

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Congratulations to Zahira Mercado, Master’s student and key contributor to ContourAId, for winning the CAIM Research Award in the Translation category. This recognition honors her outstanding contributions to ContourAId’s development, particularly in advancing the translation of AI research into practical clinical applications.

ContourAId Research Accepted for Oral Presentation at MIDL 2024

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Our paper “Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor” has been accepted for oral presentation at the Medical Imaging with Deep Learning (MIDL) 2024 conference. With an acceptance rate of just 18% (36 out of 217 submissions), this represents a significant recognition of the quality and impact of our research.