AI Behavioral Health Project
Currently patients are screened for depression and anxiety through standardized surveys. These surveys can be difficult for a person to fill out and often need to be done more than once. Research studies have found that audio and visual changes can be detected by computer algorithms to help identify symptoms of depression and anxiety. We are conducting a study to see if we can construct reliable artificial intelligence (AI) algorithms to detect depression and/or anxiety through recorded video interviews.
Observational, open label study that will recruit 100 patients to collect sufficient audio and video responses within the a primary care setting to build an AI-platform to correlate behavioral health conditions (depression and anxiety) with visual and audio cues.
Patients will be asked to complete the PHQ-9 and the GAD-7 questionnaires and speak into a camera that captures audio and video data. Patients will be asked a series of questions in a private room.
A preliminary evaluation of the algorithm will result in a directional estimates of whether or not we should proceed to the next phase of development of the algorithm (and collect more data).
Dr. Nirav Shah
CERC Senior Scholar
Dr. Nirav Shah is a Senior Scholar at Stanford University’s Clinical Excellence Research Center. He is a leader in patient safety and quality, innovation and digital health, and the strategies required to
transistion to lower-cost, patient-centered health care. Board-certified in Internal Medicine, Dr. Shah is a graduate of Harvard College and Yale School of Medicine, and is an elected member of the National Academy of Medicine.
Dr. Shah serves as an independent director for STERIS plc, as an Advisor to Deerfield Management, and as a trustee of The John A. Hartford Foundation. He is a Senior Fellow of the Institute for Healthcare Improvement (IHI), and helps set the health priorities for the United States as a member of the HHS Secretary's Advisory Committee on National Health Promotion and Disease Prevention Objectives for 2030. Previously, he served as senior vice president and Chief Operating Officer for clinical operations for Kaiser Permanente in Southern California, and as Commissioner of the New York State Department of Health.
Research Operations Manager
Tracy is a 15+ year adminstrative veteran for the Stanford School of Medicine. She started at the Lane Medical Library and is currently with the Clinical Excellence Research Center.
Ms. Daswani is currently the VP of Product at Visby Medical - a diagnostics company that designed and launched the first single-use PCR device. The first 2 products are for covid-19 and sexual health. Over the past decade, Samira has built a portfolio of products and companies that she has launched. As a part of Accretive, Samira played an instrumental role in the launch of 2 separate companies across the fashion and healthcare industry. While at Stanford, together with a group of talented individuals, Samira co-founded a venture that helps individuals better manage their emotional wellbeing. Her career started as a strategy consultant at McKinsey & Company. She earned a Master's degree in Design at Stanford University, a bachelor’s degree in biological engineering and art history from MIT and Wellesley College respectively.
On the personal side, Samira is a breast cancer survivor. Outside of giving back to the cancer community, she is an avid scuba diver, a red belt in taekwondo, and enjoys sketching on the weekends.
Stanford Healthcare AI Applied Research Team (HEA3RT)
Dr. Amelia Louise Sattler
Clinical Assistant Professor, Associate Director
Dr. Sattler is the Associate Director of HEA3RT. She joined Stanford Family Medicine in 2013, and is an ebullient family physician with special interests
Margaret Smith MBA
Director of Operations
Margaret Smith is the Director of Operations of HEA3RT where she works with industry collaborators, and clinical and operational leaders
Grace Eunhae Hong
Grace Hong was born and raised in Illinois and graduated from Stanford University in 2019 with a B.A. in Economics.
Grace works with the Stanford Healthcare AI Applied Research Team (HEA3RT) to study the implementation of AI technologies in healthcare settings and has a special interest in better understanding how innovations in health technology can be used to improve access to healthcare and remedy health disparities.
Department of Computer Science