AI-Powered Dementia Detection: A Digital Solution for Identifying Undiagnosed Cases - CBIRT

Scientists from the Regenstrief Institute, IUPUI, Indiana University, and the University of Miami are using Artificial Intelligence to identify undiagnosed cases of dementia in primary care settings as part of the Digital Detection of Dementia (D3) study. The study aimed to improve the timely diagnosis of dementia and provide diagnostic services to those who have been identified as cognitively impaired. The researchers developed an AI tool called a Passive Digital Marker, which uses a machine learning algorithm and natural language processing to analyze a patient's electronic health record. The tool combines structured data, such as notes about memory problems or vascular issues, with unstructured information to identify potential indicators of dementia. Unfortunately, many people with ADRD go undiagnosed, and even when a diagnosis is made, it often comes 2 to 5 years after the onset of symptoms, when the disease is already in the mild to moderate stage.