VentureBeat December 23, 2024
MRI images are understandably complex and data-heavy.
Because of this, developers training large language models (LLMs) for MRI analysis have had to slice captured images into 2D. But this results in just an approximation of the original image, thus limiting the model’s ability to analyze intricate anatomical structures. This creates challenges in complex cases involving brain tumors, skeletal disorders or cardiovascular diseases.
But GE Healthcare appears to have overcome this massive hurdle, introducing the industry’s first full-body 3D MRI research foundation model (FM) at this year’s AWS re:Invent. For the first time, models can use full 3D images of the entire body.
GE Healthcare’s FM was built on AWS from the ground up — there are very...
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