Artificial Intelligence (AI) and robotics are increasingly being integrated into healthcare settings, with a focus on enhancing patient care and operational efficiency. A recent Morgan Stanley report highlights that 94% of healthcare companies use AI, predicting a significant budget increase for AI and machine learning. Various hospitals in Los Angeles are already deploying AI applications—from robots managing medication delivery to AI systems predicting ER wait times and infection risks in patients. However, experts caution that the implementation and validation of AI technologies in clinical settings are complex and must be approached slowly to ensure safety and effectiveness. Examples include UCLA Health's robotic surgeries controlled by surgeons, AI-enhanced decision tools at City of Hope for detecting sepsis in vulnerable patients, and Cedars-Sinai's patient-facing AI app improving pre-visit diagnostics and care efficiency.
