Diagnosing Dementia with Deep Learning Accurately with Dr. Kolachalama

Science Society by Catarina Cunha

Episode notes

In this episode, we explore the groundbreaking research by Dr. Kolachalama and his team on addressing the global challenge of dementia, specifically Alzheimer’s disease (AD), which affects nearly 10 million new individuals annually. Their innovative approach integrates artificial intelligence and healthcare, paving the way for enhanced diagnosis of cognitive impairments.

The team's work revolves around a deep learning framework that performs multiple diagnostic steps successively to distinguish between normal cognition, mild cognitive impairment, AD, and non-AD dementias. This model utilizes a wide array of routinely collected clinical data such as demographics, medical history, neuropsychological testing, neuroimaging, and functional assessments.

Interestingly, their models not only compete with the diagnostic accuracy of practicing ... 

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Keywords
diagnosticsneurologymultimodal deep learninghealth diagnosisneuropathological lesionscognitive impairmentnon ad dementias