Presented by: Sydney Conover, Qualitative Research Assistant, Center for Innovation and Implementation (Ci2i), Palo Alto Veterans Affairs
Talk Title: “Qualitative Methods for Generative AI: Insights from Extracting Smoking History from Clinical Notes.”

Bio: Sydney Conover is aqualitative research assistant within Center for Innovation and Implementation (Ci2i) at the Palo Alto VA. She graduated from Cal Poly, San Luis Obispo with a BS in Public Health, and a minor in Biology (2022). Her past qualitative work has focused on attitudes surrounding e-cigarettes and hepatitis B education. Her current research centers on the application of qualitative methodologies to Natural Language Processing, with the aim of developing an evaluation framework for analysis of text-based input and output data for modern large language models.

Anyone can attend and happy hour conditions apply here too.

For inquiries, please contact Ana Mezynski <mezynski@stanford.edu>

Each week, S-SPIRE hosts a hybrid-model Work-In-Progress session (WIP) for faculty members and trainees to present their research and receive feedback. These run from September through May each year.

Our monthly WIP sessions (first Monday of every month) features Stanford and guest faculty presentations of well-developed projects. This WIP provides an opportunity to discuss high impact research and create synergy within the Stanford HSR/Surgery communities.

Our weekly WIP sessions feature trainees and faculty projects in every phase of development—from drafting specific aims pages, to parsing grant review committee comments, to abstracts/papers/methods in preparation.

Anyone can attend and happy hour conditions apply here too.

For inquiries, please contact Ana Mezynski <mezynski@stanford.edu>

Presented by:
Arash Fereydooni, MD, Vascular Surgery Resident, Stanford University &
Ben Liu, Research Assistant, Vascular Surgery, Stanford University
Talk Title: TBD

Bios:

Arash Fereydooni MD MS MHS is currently a 5th-year Stanford vascular surgery resident and a Cardiovascular Institute post-doctoral scholar at Dr. Shipra Arya’s lab. He is training to care for patients with complex vascular disease while also pursuing innovations that improve the clinical care of these patients.

Ben Liu is currently a research assistant at Dr. Shipra Arya’s lab. With interests at the intersection of computer vision and surgery, he has published research with the Stanford Machine Learning Group, Stanford Center for Innovation in Global Health, and Stanford Medical AI and Computer Vision Lab.

For inquiries, please contact Ana Mezynski <mezynski@stanford.edu>