Artificial Intelligence (A.I.) is gradually surpassing human capabilities. Self-driving car with A. I. To complete driving, sometimes it is safer than human operation. E-commerce use A. I. Tailor-made advertising for customers is more accurate than any market analyst. Soon, artificial intelligence will be used to "recognize" biomedical images more accurately than any medical person.
Lehigh University in Bethlehem, Pennsylvania, recently published a study in Pattern Recognition. This is an artificial intelligence image detection technology that has the potential to be more accurate than the current clinically used Pap (Pap smear) and HPV (Human Papillomavirus) cervical cancer screening tests, and is expected to provide an earlier detection of cervical cancer.
Dr. Xiaolei Huang is an assistant professor in the Department of Computer Science and Engineering at Lehigh University. Her laboratory is about image data simulation and analysis. It specializes in the application of artificial intelligence in image recognition and develops computer technology that can understand images like humans. Professor Huang believes that "humans and computers are very complementary. This is the meaning of artificial intelligence." Her current important work is to teach computers to recognize biomedical images.
In areas where medical resources are scarce, Pap or HPV screening is difficult to popularize because of price, so screening methods based on cervical photographs have become clinically promising. The problem is that the correlation between visible lesions and high-grade tumors is not strong, and the expert opinion on the classification of visible lesions is not uniform, which makes the clinical diagnosis value of cervical photographs a question mark.
â–² High-risk HPV infection can cause cervical cancer (Source: nutritionreview.org)
Professor Huang believes that computer algorithms can use visual information to improve the accuracy of lesion grading. This conjecture proved to be correct after 10 years of hard work.
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