Current Projects

Below is a list of our ongoing collaborations with both internal and external organizations working on healthcare AI implementations. Read and view relevant articles and presentations stemming from our collaborations using the button below.

External Collaborations

Amazon

Natural Language Processing in Medicine

Co-designed the "NLP in Medicine" workshop for the 58th Annual Meeting of the Association for Computational Linguistics in July 2020, and now working together to explore areas and ideas for broader study and development with Amazon


American Academy of Family Physicians (AAFP)

AI in Primary Care

Identifying high value projects to advance AI and ML solutions to critical challenges in primary care and mentoring physician innovators through the AAFP Primary Care Innovation Fellowship


American Board of Artificial Intelligence in Medicine (ABAIM)

AI Education

Advancing understanding and application of AI in clinical medicine through education and certification of healthcare professionals with ABAIM


American Board of Family Physicians (ABFM)

AI Research in Primary Care

Setting a national research agenda for AI and ML in primary care through a collaboration with ABFM and the Center for Professionalism & Value in Health Care


Codex Health

Risk Stratification & Prediction

Studying the feasibility and acceptability of a medical analytics platform powered by machine learning and natural language processing to deliver capabilities spanning population health, cohort discovery, predictive analytics, remote patient monitoring, and clinical decision support with Codex Health

 

Remote Patient Monitoring

Assessing the current landscape of remote patient monitoring tools and technologies to determine the key features of success and needs that remain unmet


DeepScribe

AI-Powered Scribe

Co-designed and conducted a survey with DeepScribe to explore provider experiences and attitudes towards emerging technologies that aim to assist providers by automating certain aspects of clinical documentation


Google Health

AI in Care Delivery

Exploring the utility and promise of applying AI to healthcare, including technology-enabled documentation and tools to support care delivery with Google Health

Read this paper to learn more about this project

 

Care Planning

Designing and assessing the acceptability of an AI-enabled model for pre-visit planning and intra-visit care management in primary care

 

Interpreting Skin Conditions with AI

Researching the feasibility and acceptability of an AI-powered tool to assist primary care providers with classifying and assessing skin conditions


Quadrant Technologies

Health AI Marketplace

Designing and assessing the feasibility and acceptability of a health AI marketplace platform that streamlines the AI deployment pipeline for health systems


SOAP Health

AI Medical Interviewing, Risk Assessment, and SOAP Note Creation

Studied the feasibility and acceptability of a conversational AI for pre-visit medical interviews with SOAP Health


Society of Teachers of Family Medicine (STFM)

Telemedicine Education

Developing a national telemedicine curriculum for medical students, residents, and teaching clinicians as part of STFM's National Telemedicine Task Force

Read this article and this paper to learn more about this project


UCSF Center for Clinical Informatics and Improvement Research (CLIIR)

Data and Technology to Support Diagnostic Excellence

Developing a series of whitepapers with CLIIR that investigates potential investments in artificial intelligence to advance diagnostic excellence for the Gordon and Betty Moore Foundation


Verily

Medical Device Innovation

Collaborating with Verily on a multi-site investigational study assessing the feasibility of a finger-wearable blood pressure monitor

Stanford Collaborations

Center for Artificial Intelligence in Medicine & Imaging (AIMI)

Closing Gaps in Healthcare AI

Identifying and addressing gaps and barriers in the field of healthcare AI with the goal of accelerating and streamlining the translation of AI tools for clinical applications with AIMI


Center for Automotive Research (CARS)

Detecting Providers' Stress Levels

Assessed the feasibility and efficacy of detecting stress in family medicine practitioners through desktop computer interactions with CARS


Center for Biomedical Informatics Research (BMIR)

Enabling Advance Care Planning Discussions

Implementing a predictive mortality model to enable patient selection for end of life advance care planning discussions and increase the incidence of documented conversations at Stanford Health Care with BMIR

Read this article and this paper to learn more about this project

 

AI-Driven Order Recommendations

Developing AI-driven clinical order recommendations for primary care physicians to tee up appropriate and efficient specialty care consultations


Center for Digital Health (CDH)

AI in Hypertension Management

Consulting on CDH's development of an AI-powered hypertension management algorithm for cardiologists and primary care physicians


Clinical Excellence Research Center (CERC)

Computer Vision Depression Screening

Studying the feasibility of developing an AI algorithm that can predict depression and anxiety based on audio and visual cues captured from a recording of the person with CERC

 

Insulin-Dependent Diabetes Management

Advising a project assessing the feasibility and acceptability of leveraging at-home voice applications to assist patients with insulin-dependent diabetes management remotely


Evaluation Sciences Unit (ESU)

AI in Pre-Visit Planning

Completed a comprehensive environmental scan, a literature review, and key informant interviews to explore the use of AI in pre-visit planning with the ESU


Master of Science in Clinical Informatics Management (MCiM)

Master of Science in Clinical Informatics Management

Collaborating with MCiM - a master's program for working professionals seeking to harness the power of digital innovations in healthcare - to provide a management-focused educational experience and foster digitally-driven excellence in healthcare


Research IT

Clinical Identification Tools

Developing high-performance open source clinical identification tools that enable researchers around the world to use clinical text for AI-driven applications while preserving patient privacy with Research IT


Stanford Health Care

Detecting Inpatient Clinical Deterioration

Implementing a predictive model for clinical deterioration in the inpatient acute care setting to reduce unexpected escalations to the intensive care units and mortality at Stanford Health Care and Valley Care

Read this article to learn more about this project


Stanford Institute for Human-Centered AI (HAI)

AI + Healthcare Global Conference

Developing a number of sessions for the HAI Stanford AI + Healthcare Global Online Conference in Fall 2021 covering topics related to AI applied research, academic partnership with industry, as well as equity and community engagement in health AI


Stanford Medicine Center for Improvement (SMCI)

Improvement Across Stanford Medicine

Collaborating with SMCI as active affiliate faculty and guest lecturers in order to foster a culture of continuous improvement across Stanford Medicine


Stanford Prevention Research Center (SPRC)

Remote Patient Monitoring and AI Health Coaching

Designing a large pragmatic trial of a comprehensive digital care platform versus usual care for the treatment of hypertension, diabetes, and depression with SPRC

Join Us

Interested in learning more about our group or collaborating on a project? Visit our contact page to connect with us!