MRI

Image fusion method uses AI to improve outcomes

Image fusion method uses AI to improve outcomes

Researchers have developed a new "multi-modal" image fusion method based on supervised deep learning that enhances image clarity, reduces redundant image features and supports batch processing.

A promising future for soft bioelectronic interfaces

A promising future for soft bioelectronic interfaces

Researchers have demonstrated MRI compatibility in their soft electrode arrays – a crucial step in translation to the clinic.

Biomedical research: deep learning outperforms machine learning

Biomedical research: deep learning outperforms machine learning

Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.

Deep learning-based image segmentation

Deep learning-based image segmentation

Scientists have presented a new method for configuring self-learning algorithms for a large number of different imaging datasets – without the need for specialist knowledge or very significant computing power.

Deep learning tool measures volume of cerebral ventricles

Deep learning tool measures volume of cerebral ventricles

Researchers have developed an AI tool that can measure the volume of cerebral ventricles on MRIs in children within about 25 minutes.

How AI can improve medical imaging

How AI can improve medical imaging

AI offers not only the possibility of better detection of a tumor, a skin lesion or some other indication but also can improve accuracy and efficiency for radiologists.

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