Shah Lab

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There are multiple efforts on campus that focus on AI, Data Science and Digital innovation in Healthcare. Below is a listing of the ones I know.

==== Efforts in SOM ====

  - [[https://aimi.stanford.edu/|Center for Artificial Intelligence in Medicine & Imaging (AIMI)]], which aims to responsibly innovate and implement advanced AI methods and applications to enhance health for all.
  - [[https://aicare.stanford.edu/|Stanford Partnership in AI-Assisted Care (PAC)]], focused on cutting edge computer vision and machine learning technologies to solve some of healthcare's most important problems.
  - [[http://med.stanford.edu/healthcare-ai/about.html|Stanford Healthcare AI Applied Research Team (HEA3RT)]], whose mission is to bring leading edge AI technologies "from code to bedside” in support of the Quadruple Aim.
  - [[https://emstepp.squarespace.com/|Stanford EM Partnership Program (STEPP)]], is a structured system for sourcing, evaluating, and executing innovative partnership between the Stanford Department of Emergency Medicine and innovators.
  - [[https://med.stanford.edu/raisehealth|Responsible AI for Safe and Equitable Health (RAISE-Health)]], is a joint initiative between Stanford Medicine and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) to guide the responsible use of AI across biomedical research, education, and patient care.
  - [[https://traind.stanford.edu/|Translational AI in Dermatology (TRAIND)]], works to advance the clinician-driven and patient-centered development of augmented intelligence in dermatology by bringing together the expertise, capabilities and partners to achieve the promise of “bytes to bedside, pixels to practice”.
  - [[https://med.stanford.edu/hospitalmedicine/research/arise-network.html|ARiSE (AI Research and Science Evaluation) Healthcare Network]], was established in 2024 as a collaboration between clinicians and researchers across academic medical centers to advance the field of healthcare AI by designing and executing rigorous, multi-center research studies.
  - [[http://med.stanford.edu/seal.html|Stanford Emerging Apps Lab (SEAL)]]'s, mission is to build and maintain a pipeline for the development and implementation of new digital solutions that enhance the functionality of the electronic health record for clinicians to deliver high quality and high touch care to patients at Stanford Medicine.
  - [[http://med.stanford.edu/cdh.html|Center for Digital Health (CDH)]], which is a collaborator, resource, and enabler of the next generation of medicine for shaping the future of digital health.
  - [[https://spezi.sites.stanford.edu/|Spezi ]] by Stanford Biodesign Digital Health, is an open-source framework for the rapid development of modern, interoperable digital health applications based on an ecosystem of modules that exchange data using health data standards such as HL7® FHIR®.
  - [[https://innovations.stanford.edu/about|Stanford Healthcare Innovation Lab]], which characterizes an individual’s healthy baseline to identify when deviations from baseline occur and intervene to maintain health as well as early detection and prevention of disease.
  - [[https://heal-ai.stanford.edu/ | Heal-AI]], Healthcare Ethical Assessment Lab for Artificial Intelligence, works to identify and address ethical issues arising from use of healthcare AI tools before they become problems for the organization, clinicians, and patients.
  - [[https://guide-ai.stanford.edu/ | GUIDE-AI]], works on projects that provide Guidance for the Use, Implementation, Development, and Evaluation of Healthcare AI at SHC.


==== Efforts in SOE ====

  - [[https://hai.stanford.edu/|Institute for Human-Centered Artificial Intelligence (HAI)]], with the goal of Advancing AI research, education, policy, and practice to improve the human condition.
  - [[https://docs.google.com/document/d/1puq8Q3UVrS2XRhdR1RTG4EjT5KXfyagHcvuyMf42dQE/edit|Data Science Data4Health]], which is part of [[https://datascience.stanford.edu/research/research-areas/data-science-human-health| Data Science for Human Health]] is a new hub promoting data science + health research and impact across campus.
  - [[https://aihealth.stanford.edu/|AI for Health]], with the mission to develop unbiased, explainable AI algorithms to better understand health and wellness, to improve the efficiency, value and delivery of healthcare and to improve patient experience and outcomes.
  - [[https://aimi.stanford.edu/research/ai-healthcare-bootcamp |AI for Healthcare Bootcamp]], which provides an opportunity to do cutting-edge research at the intersection of AI and healthcare.
  - [[https://aimslab.stanford.edu/ | AI Measurement Science]], which is a community building the methods, courses, and software to close the measurement gap.

==== Efforts at SHC ====
  - [[http://med.stanford.edu/radiology/news/2018/hofmann-medical-director-shc-dhci.html|Digital Health Care Integration (DHCI)]], which will identify and enable digital health programs and initiatives to align with the Integrated Strategic Plan for Stanford Medicine.
  - [[https://med.stanford.edu/news/all-news/2022/03/nigam-shah-inaugural-chief-data-scientist-stanford-health-care.html |Data Science at SHC (DSatSHC)]] is a team focused on ensuring Stanford Health Care is a leader in responsible artificial intelligence — from development and implementation to maintenance and optimization. The team's [[ https://stanfordhealthcare.sharepoint.com/sites/DSatSHC | website]] is on the intranet, login with your sunetID or sid to access.

==== Resources supporting Digital, Data Science and AI efforts ====

  - [[https://smcatalyst.stanford.edu/|Stanford Medicine Catalyst]], which aims to accelerate innovations that will transform health by seeking the most promising ideas from the Stanford community and fostering their development, testing their implementation, and scaling them to their full potential.
  -  [[https://irdh.stanford.edu/about-us/|Industry Relations and Digital Health (IRDH)]], which matches the finest industry innovators with world leading researchers.
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