Ayla Irem Aydın yes, artificial intelligence programs are increasingly being used in radiological diagnosis. It's a game-changer in the healthcare industry. These AI programs are developed to assist radiologists in interpreting medical images like X-rays, CT scans, and MRIs.
Here's a simplified breakdown of how it works:
Data Collection: First, vast amounts of medical images are collected and used for training the AI system. This dataset includes images that are both normal and those with various medical conditions.
Training the AI: Using machine learning techniques, the AI program learns to recognize patterns and abnormalities in these images. For instance, it learns what a healthy lung looks like versus one with a tumor.
Diagnosis Assistance: Once trained, the AI system can assist radiologists by quickly analyzing images and highlighting potential areas of concern. It doesn't replace the radiologist but acts as a valuable aid, making the diagnostic process faster and more accurate.
Commercial Products: There are indeed commercial AI solutions available for radiological diagnosis. These products are developed by companies that specialize in healthcare technology. They are used in hospitals and clinics worldwide.
One widely known example is IBM Watson for Healthcare, which utilizes AI for various medical applications, including radiology. Other companies like Siemens, Philips, and GE Healthcare have also developed AI-powered solutions for radiological diagnosis.