Watson for Oncology key features
Extract key attributes from a patient's medical record
Uses natural language processing to read and understand all the patient data in the medical record when integrated with the EMR.
Evidence-backed treatment recommendations
Combines information with expert training from Memorial Sloan Kettering Cancer Center to derive ranked treatment options supported by evidence from MSK for use by the treating physician.
Oncology domain knowledge
Supplements the surfaced treatment options with relevant evidence from the literature by leveraging natural language processing and advanced machine learning algorithms to search a corpus of over 300 medical journals, over 250 textbooks, and 15M pages of text.
Surfaces relevant articles that align with the patient characteristics as well as the treatment under consideration and provides enhanced evidence insights.