How Machine Learning Can Improve Medical Outcomes
- Event: 8th International Conference of the Novalis Circle 2018
- Topic: Outcome measures
- Year: 2018
Eric Oermann, MD, Neurosurgeon at Mount Sinai Health System, New York, discusses a slightly different topic in this talk: How machine learning can improve medical outcomes. He begins by emphasizing that deep learning is automated feature engineering and that deep neural networks learn hierarchical feature representations. To apply this to the work of physicians, Dr. Oermann poses the questions: What problems do we face as physicians and how can we translate those into machine learning to create better outcomes? He then provides examples of areas where machine learning could play a role in the hospital: Assessment in the ICU, brain biopsies, faster interpretation of imaging and AI augmented radiosurgery (AIAR).
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