NYU applies open source Google AI to diagnose lung cancer
If recent research is any indication, artificial intelligence (AI) has a bright future in medicine. Nvidia developed an AI system that can generate synthetic scans of brain cancer. Google subsidiary DeepMind has demonstrated a machine learning algorithm that can recommend treatment for more than 50 eye diseases with 94 percent accuracy. And in newly published research, New York University (NYU) showed how AI might aid in lung cancer diagnosis.
A paper today published in the journal Nature Medicine (“Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning”) describes how a team of NYU researchers retrained Google’s Inception v3, an open source convolutional neural network architected for object identification, to detect certain forms of lung cancers with 97 percent accuracy.
Also: Google AI Tool Identifies a Tumor's Mutations From an Image
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