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.
Image classification using neural networks with Python MNIST dataset This project utilizes the The Modified National Institute of Standards and Technology (MNIST) dataset which comprises of 60 thousand training observations and 10 thousand test observations of handwritten digits.
Due to the complexity of imaging data, connectionist network models or neural networks have been gaining significant interest in recent years. Python machine learning packages sklearn and keras have been especially useful for specifying neural network architectures.
