A team of neurosurgeons and engineers at Michigan Medicine, in collaboration with investigators from New York University, University of California, San Francisco and others, developed an AI-based diagnostic screening system called DeepGlioma that uses rapid imaging to analyze tumor specimens taken during an operation and detect genetic mutations more rapidly.
While publicly marketed as tools to monitor underage children and employees using their employer’s equipment, spyware apps are also frequently used by
The study, published in PLOS ONE, brought together researchers and clinicians at UCL Engineering, UCLH and Korle Bu Teaching Hospital, Ghana to investigate a new non-invasive diagnostic technique using smartphone photographs of the eye and face.
The model uses natural language processing (NLP) - a branch of AI that understands complex human language - to analyze oncologist notes following a patient’s initial consultation visit - the first step in the cancer journey after diagnosis.