AI algorithms, particularly deep learning models, are trained to detect and analyze patterns in medical images, identifying abnormalities such as tumors, fractures, or lesions.

AI tools help radiologists by providing second opinions, highlighting areas of concern, and offering diagnostic suggestions based on image patterns that may be subtle or difficult to detect by the human eye.

These solutions can streamline radiology workflows by automatically pre-screening images, prioritizing cases, or flagging urgent findings for immediate attention. This reduces the time spent by radiologists on routine tasks.

AI solutions are often integrated into existing radiology infrastructure, such as PACS, making it easy for radiologists to use them in routine practice.