Key Points

● Artificial intelligence (AI) is a technique which enables machines to mimic human behavior. Machine learning (ML) is a subset of AI which uses statistical methods to enable machines to improve with experience. Deep Learning is a subset of ML which makes computation of multi-layer neural networks feasible.

● Uses of AI: prediction (admissions, complication rates, mortality), diagnosis (ECG reads, radiology reads, triage (patient-facing recommendations, ESI level, etc).

● Challenges of AI: data quality including age of your data, missingness in your data, legal and regulatory requirements (FDA, HIPAA, responsibility of outputs, comparison to standard of care), how to implement AI tools into workflow and hospital system.