Neural EEG Decoding of Smell with Artificial Intelligence Masters of Science in Data Science Thesis
School of Professional Studies, Northwestern University
Abstract
Although olfaction (sense of smell) and related structural abnormalities in the brain’s olfactory bulbs are among the first observed symptoms correlated with Alzheimer’s disease, the functional relationship between olfaction and regions of the brain is poorly understood. Understanding olfactory regions of interest is significant for radiologists in differentiating between olfactory symptoms caused by neurodegenerative diseases or other prevalent reasons such as aging.
Generating SOAP notes from audio using Microsoft Azure Abstract
SOAPgen is a healthcare AI and LLM project focused on converting recorded clinical conversations into structured SOAP notes: Subjective, Objective, Assessment, and Plan. The goal is to reduce manual documentation time for clinicians and make patient records easier to organize, review, and share.
The pipeline uses Microsoft Azure services for speech processing and downstream text handling, followed by an LLM to organize the content into the standard SOAP format.
Neural MRI Decoding of Smell with Generative AI Masters of Science in Data Science Thesis Proposal
Also an oral presentation at symposium in Chicago, IL, November 2024.
School of Professional Studies, Northwestern University
Abstract
Olfaction (sense of smell) and related structural abnormalities in the olfactory bulbs are among the first observed symptoms corelated with Alzhiemer’s disease (Esiri and Wilcock 1984; Thomann et al. 2009). The functional relationship between olfaction and the olfactory bulbs is poorly understood (Weiss et al.
