Tuesday, 14 January 2020

Artificial Intelligence speeds brain tumour diagnosis

A recent National Institutes of Health (NIH)-funded clinical trial of patients requiring brain surgery indicates how artificial intelligence (AI) is able to provide "neurosurgeons with valuable real-time information about what type of brain tumour is present, while the patient is still on the operating table."  In the joint study by researchers from NYU Langone Health and University of Michigan, Ann Arbor, the benefits of AI and a technique known as Stimulated Raman History (SRH) can provide real-time data and predictions related to a patient's brain tumour diagnosis.  AI overall performance in this study was 95% accurate (compared to 94% accuracy for conventional pathology).

To read more about this study, click here.

Source mentioned: Hollon TC, Pandian B, Adapa AR, Urias E, Save AV, Khalsa SS, et al. Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks. Nat Med. 2020 Jan 6. doi: 10.1038/s41591-019-0715-p [Epub ahead of print]

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