What is one application of AI in healthcare?

Using predictive analytics for patient outcomes is a significant application of AI in healthcare because it involves processing vast amounts of data to identify trends, forecast potential health issues, and improve patient care. By analyzing historical data from numerous patients, AI systems can recognize patterns that might indicate the likelihood of various outcomes, such as disease progression, readmissions, or treatment effectiveness.

This capability helps healthcare professionals make informed decisions about patient care, leading to personalized treatment plans and proactive interventions. With the integration of AI models, hospitals can enhance their efficiency and potentially improve patient survival rates by noticing critical signs early.

As for the other options, while the creation of surgical instruments and basic patient monitoring are relevant to healthcare, they don't specifically utilize AI to their full potential compared to predictive analytics. Manual record-keeping does not involve AI and is, in fact, a traditional method that can be improved through AI adoption.