Training AI’s view on clinically relevant areas improves medical image analysis
Medical Xpress July 11, 2024
Duke-NUS Quantitative Biology and Medicine Ph.D. candidate Yuan Han has developed a new method to improve the accuracy of AI when it is used to diagnose a collapsed lung, or pneumothorax, by limiting the area of a chest X-ray that AI uses when interpreting the image.
Working with radiologists to understand how they read such X-rays, Yuan created a simple filter or template that is applied over the X-ray to direct the AI’s analysis. With its sharpened focus, Yuan’s model reduced the false positive rate, thereby improving the performance across twelve benchmark scenarios, demonstrating the value of incorporating clinical knowledge into...