Understanding AI technology and machine learning in healthcare
AI refers to technology that performs tasks that require human-like reasoning, such as recognizing patterns, interpreting data and solving problems. It learns from experience, spots trends a human eye might miss and generates recommendations based on what users want to achieve.
Machine learning is a subset of AI that improves performance over time, helping healthcare organizations turn their own complex information into practical insights. Because these models are trained on each organization’s unique data, they can adapt to local patterns and workflow differences, making their predictions far more accurate.
Clinical and operational applications
AI and ML are now used in many areas of clinical care, such as:
- Improving diagnosis by analyzing medical images with greater accuracy.
- Accelerating drug discovery by tracking side effects and treatment outcomes.
- Improving surgical safety and precision through robotics.
- Supporting patients in managing their own health through wearables and remote monitoring.
