Data techniques

Is aware of the latest techniques (e.g., AI) and their application to healthcare (e.g., imaging and genomics interpretation, clinical diagnostic evaluations, prediction of readmission risk, extracting semantic information from text) and the challenges in deployment and usage of these in health and clinical settings (e.g., population data and algorithmic bias, explainability of results, robust regulation and quality control, metrics vs clinical applicability, ethics and unintended negative consequences).

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