Machine learning has a significant use case in healthcare, particularly in predictive analytics. It can analyze vast amounts of patient data to identify patterns and predict outcomes, enabling earlier disease detection and personalized treatment plans. For example, algorithms can assess risk factors and assist in diagnoses by recognizing diseases from imaging results. This application not only enhances patient care but also improves operational efficiency, allowing healthcare providers to allocate resources more effectively while ensuring timely interventions. As the sector continues to integrate machine learning, its potential to revolutionize healthcare delivery becomes increasingly apparent.