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In this episode, Lauren & Matt speak with Neguine Rezaii, MD, an Assistant Professor of Neurology at Harvard Medical School and a Board-Certified Neuropsychiatrist at Mass General Hospital. Dr. Rezaii’s research focuses on using natural language processing and artificial intelligence to improve the detection and classification of neurodegenerative disorders. Dr. Rezaii talks about her recent study, “Voiceprints of Cognitive Impairment: Analyzing Digital Voice for Early Detection of Alzheimer’s and Related Dementias,” which explores how artificial intelligence can analyze short speech samples to identify subtle signs of cognitive impairment. The study used speech recordings from 120 individuals and found that features such as pauses, word choice and the specificity of language can help distinguish cognitive impairment and Alzheimer’s disease. The conversation also explores how a simple 30-second speech test could potentially be used in clinical settings to support earlier detection and monitoring of cognitive impairment, as well as the challenges and ethical considerations that come with using AI to analyze something as personal as a person’s voice.