A common use case for Artificial Intelligence in the healthcare sector is in diagnostic imaging, where AI algorithms analyze medical images to detect abnormalities. Machine learning models can be trained on vast datasets to identify patterns indicating conditions like tumors or fractures with high accuracy. This technology assists radiologists by providing second opinions and prioritizing cases that require urgent attention. Furthermore, AI-driven analysis can enhance predictive modeling for patient outcomes, improving treatment plans and patient care efficiency while enabling earlier interventions.