A new study published in Radiology showed that a deep learning model predicted Alzheimer’s disease with 82% specificity and 100% sensitivity about 6 years before diagnosis by using fluorine 18 fluorodeoxyglucose PET imaging studies of the brain. According to the study published in the journal Radiology, artificial intelligence can help predict Alzheimer’s disease, a disease where early diagnosis can be pivotal for the introduction of treatments and interventions.
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