Machine Learning in Radiology

Machine learning in radiology uses advanced computer algorithms to analyze medical images like X-rays, MRIs, and CT scans. These systems learn from large datasets to identify patterns and abnormalities, assisting radiologists in diagnosing diseases more accurately and quickly. By continuously improving with more data, machine learning can highlight areas of concern, reduce human error, and enhance patient outcomes. Essentially, it acts as a powerful tool that complements the expertise of radiologists, helping to make medical imaging interpretation more efficient and reliable.