Three million euros for AI “final exam” in medical imaging
The Carl Zeiss Foundation is funding a new project that aims to specifically align artificial intelligence with the most urgent clinical challenges in imaging diagnostics. Researchers led by Lena Maier-Hein from the German Cancer Research Center (DKFZ) and the National Center for Tumor Diseases (NCT) Heidelberg have developed the concept “MEDAL” (Medical Imaging AGI’s Last Exam).
The project is building a globally unique collection of real-world clinical questions, including multimodal image data. Experts worldwide are invited to submit proposals – including data from CT and MRI imaging, pathology and surgical videos. Prize money of one million euros will be distributed among the selected tasks.
An international panel of experts consisting of clinicians, data scientists, patient representatives and AI researchers is currently being created in Heidelberg. It is to evaluate the submitted proposals and select those that promise the greatest benefit for patients. This creates a kind of “final exam” for artificial general intelligence systems in medicine.
Current AI developments are often based on readily available data and simple routine tasks instead of complex medical problems. MEDAL is intended to change this, make clinical progress objectively measurable and direct resources to the really relevant challenges – from early detection to diagnostics and therapy to aftercare.
Editor: X-Press Journalistenbüro GbR
Gender Notice. The personal designations used in this text always refer equally to female, male and diverse persons. Double/triple naming and gendered designations are used for better readability. ected.
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