Neuroscience and Neurobiology Commons^™

Utilizing Ai Integrated Neuroimaging Technology To Expand Upon Machine Learning In Positron Emission Tomography Technology With The Aim Of Detecting Amyloid Beta Biomarkers Early In The Onset Of Alzheimer's., Ethan S. Terman

Undergraduate Research Posters

Early intervention in Alzheimer's is vital for treatment. The earlier a professional can detect symptoms and make a diagnosis the earlier a prognosis can be implemented. With the prevalence of data in our day-to-day world combined with Artificial intelligence (AI), utilizing both for machine learning can pave the way for more accurate and efficient detection of Alzheimer's and other neurodegenerative diseases. AI combined with Machine learning (ML) increases diagnostic efficiency and reduces human errors, making it a valuable resource for physicians and clinicians alike. With the increasing amount of data processing and image interpretation required, the ability to use AI …

Response Time Scores On A Reflexive Attention Task Predict A Child's Inattention Score From A Parent Report, Erica Suh, Katherine Christensen, Sarah Kamhout, Kahala Thompson, Yoojin Kim, Cooper Hodges

FHSS Mentored Research Conference

● Children with attention deficits have problems with sustained and reflexive attention tasks

● Few studies measure reflexive attention as a component of day-to-day attention in children

● Parents also have valuable insight into children’s behavior

● We want to identify associations between computer-based reflexive attention task performance and parent-rated attention-related problems.