Example Concept: AI in healthcare diagnostics often involves using machine learning models trained on large datasets of medical images or patient records. These models can identify patterns and anomalies that may indicate specific conditions, such as tumors in radiology images or irregular heart rhythms in ECG data. By analyzing these patterns, AI systems can provide diagnostic suggestions to healthcare professionals, who then make the final decisions.