Radiology has become one of the most successful applications of AI in healthcare. Deep learning algorithms can analyze X-rays, CT scans, and MRIs to detect abnormalities, measure lesions, and track disease progression with remarkable accuracy.

These AI systems are trained on millions of labeled images, learning to recognize patterns associated with various conditions. They can flag potential issues for radiologist review, reducing the chance of missed diagnoses and speeding up the interpretation process.

Rather than replacing radiologists, AI serves as a valuable second opinion and efficiency tool. Radiologists can leverage AI to handle routine cases quickly, allowing them to focus their expertise on complex diagnoses and patient consultations.