Artificial Intelligence Speeds Up Diagnosis of Fragile X Syndrome
Researchers from the Waisman Center at the University of Wisconsin–Madison have shown how machine learning, a form of artificial intelligence (AI), may help healthcare providers identify undiagnosed cases of fragile X syndrome based on several other health problems associated with the disability.
Researchers from the Waisman Center at the University of Wisconsin–Madison have shown how machine learning, a form of artificial intelligence (AI), may help healthcare providers identify undiagnosed cases of fragile X syndrome based on several other health problems associated with the disability, such as physical and mental impairments. The study has been published in Genetics in Medicine.
According to the University of Wisconsin–Madison News, researchers employed AI to analyze the electronic health records of 1.7 million Wisconsin patients and found that people with fragile X syndrome are more likely to have circulatory, digestive, metabolic, respiratory, and genital and urinary disorders. AI successfully predicted diagnoses of fragile X syndrome by as much as five years earlier than being clinically diagnosed.
Read the full story at: https://news.wisc.edu/artificial-intelligence-can-accelerate-clinical-diagnosis-of-fragile-x-syndrome/
