DementiAnalytics скачать в хорошем качестве

DementiAnalytics

The broader impact of this I-Corps project is the development of a technology for non-invasive assessment and monitoring of neurocognitive disorders, especially Alzheimer's disease. The prevalence of Alzheimer's is set to surge, potentially overwhelming current healthcare practices, due to increasing life expectancy and the static number of neurology practitioners. Current diagnoses are largely based on clinical interviews and questionnaires, which are subjective and can lead to recalls and interviewer biases. This technology is a non-invasive technique to screen patients with Alzheimer's disease or other dementia-inducing neurocognitive disorders. These tools are designed to help physicians and clinicians rapidly diagnose patients. The technology may improve patient outcomes, enhance the quality of healthcare delivery, improve patient and family comfort, and reduce financial burdens. This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of sensor-based artificial intelligence (AI) to analyze speech patterns that can be used to identify early signs of cognitive decline. Integrated into an easily accessible web platform, one model identifies speech pattern differences to assess dementia risk, providing a probability metric. The other model automates the AD8 Dementia Screening scoring, a screening test used to detect early cognitive changes, enhancing efficiency in diagnosis. Both models, utilizing deep learning and natural language processing methods. Preliminary validations affirm the models' accuracy, with full real-world testing underway to ensure reliability. By guiding physicians in the diagnosis and treatment planning process, this technology may facilitate timely and effective medical interventions to streamline dementia detection.