machine learning in surgery

Machine learning in surgery involves using computer algorithms that analyze large amounts of medical data to assist surgeons. These systems can recognize patterns, such as detecting tumors in imaging or predicting patient outcomes, enhancing diagnosis and decision-making. By learning from past cases, machine learning tools can improve accuracy, reduce errors, and personalize treatments. This technology supports surgeons during procedures and in planning care, ultimately aiming to make surgeries safer and more effective for patients.