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>
Academic Surgical Congress (ASC) Practice Presentation.
Speakers:
Laura Graham, PhD, Affiliate Faculty, S-SPIRE Center, Stanford University, VA HERC, VA Palo Alto Health Care System |
Zaria Cosby, MPH, Social Science Research Professional, S-SPIRE Center, Stanford University |
Grace Keegan, Medical Student, Pritzker School of Medicine, University of Chicago |
Anyone can attend and happy hour conditions apply here too.
For inquiries to join, please contact Ana Mezynski <mezynski@stanford.edu>
Pacific Coast Surgical Association (PCSA) Practice Run.
Presented by the Department of Surgery Residents at Stanford University.
Each week, S-SPIRE hosts an in-person Work-In-Progress session (WIP) for faculty members and trainees to present their research and receive feedback on projects in every phase of development—from drafting specific aims pages, to parsing grant review committee comments, to abstracts/papers/methods in preparation.
Please refer inquiries to Ana Mezynski at mezynski@stanford.edu
Presented by:
Arash Fereydooni, MD, Vascular Surgery Resident, Stanford University &
Ben Liu, Research Assistant, Vascular Surgery, Stanford University
Talk Title: “AI-Driven Multimodal Risk Assessment Combining CT Imaging Biomarkers and Frailty Scores for Enhanced Mortality Prediction in Surgery Patients”
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>