Our work covers a broad range of aims centered on the development and integration of artificial intelligence (AI) technologies that solve important, practical problems for patients, providers and health systems.
We work with clinical, operational, and technical teams to advance the development of clinically relevant models, leveraging quality improvement, implementation science, design thinking, and traditional research methods.
Recent News & Publications
Understanding the Usefulness of an AI-Powered Dermatology Tool Among Everyday Users
Stanford 21st Community Health Symposium, April 2023
We collaborated with Stanford Dermatology, Google, and Santa Clara Family Health Plan to better understand the viewpoints and perceived usability of an AI-driven dermatology tool among participants in East San Jose. Participants recruited during community health fairs used the tool in their preferred language to photograph their skin concern, received information on matching conditions and possible treatments, and consulted with an onsite clinician. Feedback was assessed from participants and physicians via survey and user experience interview. Among 75 participants, speaking either English, Spanish, Vietnamese, or Mandarin, 70% indicated they were very or extremely satisfied with the experience. This project provides a model for bridging the gap between community, academia, and industry to develop technology that benefits all users.
Voice Assistants’ Responses to Questions About the COVID-19 Vaccine: National Study
JMIR Formative Research, February 2023
Artificial intelligence-powered voice assistants (VAs), such as Apple Siri, Google Assistant, and Amazon Alexa, interact with users in natural language and are capable of responding to simple commands, searching the internet, and answering questions. In response to the ongoing prevalence of vaccine misinformation and disinformation, this study aimed to evaluate how different VAs respond to COVID-19 vaccine-related queries.