When Pouneh Razavi, a radiologist, examines a patient’s mammogram, she meticulously searches for any signs of breast cancer in the X-ray image. A second reader then reviews the image, and they compare their findings. This process is still in its early stages, with Razavi’s team both learning from the software and teaching it through their own experiences. By using images from Razavi’s practice, the AI can improve its ability to detect abnormalities over time. While the performance of the AI is still being evaluated as data is collected by Razavi’s colleagues, there is a sense of excitement surrounding its potential. Patients, including Science News Editor in Chief Nancy Shute, have found the technology fascinating, with Shute herself receiving an AI-analyzed mammogram from Razavi in May.
Medical imaging is not limited to mammograms when it comes to AI assistance. Doctors are utilizing AI technology to analyze X-rays of chest scans, ultrasound videos of infant hearts, and more. The field of AI technology in medicine is rapidly expanding, with imaging leading the way, as noted by Stanford University radiologist Curtis Langlotz at The New Wave of AI in Healthcare symposium in New York City in May.
Since 1995, the U.S Food and Drug Administration has approved nearly 900 AI-related medical devices, with approximately 75 percent focusing on radiology. However, not all medical facilities across the country have integrated this technology, as mentioned by Mert Sabuncu, a technologist at Cornell University during the meeting hosted by the New York Academy of Sciences and the Icahn School of Medicine at Mount Sinai. Sabuncu emphasized that the deployment of AI technologies in medical imaging is just beginning.
2024-06-17 10:30:00
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