Artificialintelligence tool developed to help make real-time diagnoses during surgery brighamwomens natBME
When surgeons send samples to a pathologist for examination, both speed and accuracy are of the essence. The current gold-standard approach for examining tissues often takes too long and a faster approach, which involves freezing tissue, can introduce artifacts that can complicate diagnostics.
Mahmood and co-authors developed a deep-learning model that can be used to translate between frozen sections and more commonly used FFPE. In their paper, the team demonstrated that the method could be used to subtype different kinds of cancer, including glioma and non-small-cell lung cancer.
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