According to a paper published online by the British journal Nature Medicine on the 8th, an artificial intelligence can identify rare genetic syndromes with high vacancies after receiving tens of thousands of real patient facial images. Scientists also stressed that because personal facial images are sensitive but readily available, they must be handled with care to prevent discriminatory abuse of the technology.
Various genetic syndromes exhibit unique facial features that can help clinicians diagnose. However, the number of possible syndromes is huge and it is not easy to identify them correctly. Using artificial intelligence can help diagnose the genetic syndrome, but early research on this possibility is not difficult to steal the cockroaches? Jing 婺 2 Huai èž…? çž¿è‹ä¾—é¹•å€ é…† é…† 鳌
This time, Yalong Gurovich, a researcher at FDNA Analytical Technologies, and colleagues used a facial image of more than 17,000 patients to train a deep learning algorithm. All of these patients were diagnosed with hundreds of genetic syndromes. The images used in the study came from a community platform where the clinician passed the patient's facial image. The research team used two independent test data sets to test the performance of artificial intelligence, each of which contained hundreds of patient facial images previously analyzed by clinical experts. For each test image, artificial intelligence lists various potential syndromes in a certain order.
In both sets of tests, in about 90% of cases, the first 10 recommendations from AI included the correct syndrome, which exceeded the performance of clinical experts in the other three experiments. Although this study c ∮ ç‰Ÿé¦ ç‰Ÿé¦ è è è è 婺 婺 婺 。 。 。 。.é¢ é¢ é¢ æ¸Œ 渌 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延 延? ?奔?糯?é…†ä¸éž¯çš„畔痘燃痘?
Researchers say further research is needed to optimize the ability to identify artificial intelligence and compare it to other diagnostic methods.
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