Stanford Center for Artificial Intelligence in Medicine and Imaging

03/07/2024

Calling all high school students interested in Artificial Intelligence in Medicine and Health!

The Stanford Center for Artificial Intelligence in Medicine and Imaging is currently accepting applications for our 2-week virtual summer research Internship & AI bootcamp programs. Both programs are fantastic learning opportunities and free of charge.

🚀 Summer Research Internship: Dive into AI's impact on healthcare through expert-led sessions, a hands-on project, & mentorship from Stanford researchers. Open to ambitious high school students entering 9th-12th grade in Fall 2024 looking to apply their advanced technical/coding skills to real-world clinical problems.

📚 Summer Health AI Bootcamp: Designed for high school learners of all technical levels, the bootcamp offers a curated curriculum that covers the fundamentals of machine learning in medicine and healthcare. Discover the intersections through a series of virtual lectures and dynamic discussions led by Stanford’s leading health AI experts.

🗓️ Key Dates:
Applications Due: March 31, 2024, 11:59pm PT
Program dates (internship & bootcamp): June 17-28, 2024 (Mon-Fri, 9am-12pm PT)

🌟 More info: https://aimi.stanford.edu/hs-student-programs

10/20/2022

We’re thrilled to welcome Clairity to the Stanford AIMI Industry Affiliates Program. At Stanford AIMI we believe industry collaborations are one of the most important paths to commercialization of research for societal impact and look forward to working closely together. Welcome to the AIMI community!

More info: https://aimi.stanford.edu/industry-affiliates

The AIMI Affiliates Program provides a structure for industry to engage effectively with our Center. Corporate members have an extraordinary opportunity to inform, influence, and collaborate on research projects. The program provides unrestricted support for AIMI’s research, teaching, and administ...

10/18/2022

Meet the Team: AIMI Visiting Scholar Helen Frazer is a radiologist and Clinical Director of St Vincent’s BreastScreen and BreastScreen Victoria. Dr. Frazer has over 20 years of clinical experience alongside research focused on the use of deep learning AI for breast cancer detection; ethical, legal, and social implications of AI in healthcare; user experience and workflow studies in cancer screening; and health workforce preparation for AI tools. She leads the BRAIx AI research program that was awarded a Medical Research Future Fund grant to translate promising AI mammography image reading results into breast cancer screening

Of her many accomplishments, Dr. Frazer was recently awarded the prestigious Women in AI 2022 Innovator of the Year and AI in Health awards for Australia - New Zealand.

Welcome to the team!

09/29/2022

Machine learning applications in healthcare continue to shape patient-care experiences and medical outcomes, but how do we address the very real concerns regarding discriminatory AI decision-making? Check out this Stanford HAI policy brief “Promoting Algorithmic Fairness in Clinical Risk Prediction” by Stephen Pfohl, Agata Foryciarz, and AIMI Co-Director Nigam Shah.

Read the brief here: https://stanford.io/3BEKykM

HAI Policy Briefs September 2022 Promoting Algorithmic Fairness in Clinical Risk Prediction While machine learning applications in healthcare continue to shape patient-care experiences and medical outcomes, discriminatory AI decision-making is concerning. This issue is especially pronounced in a cli...

09/28/2022

We’re delighted to welcome our research collaborators and AI innovators VinBrain to the Stanford AIMI Industry Affiliates Program! We believe industrial collaborations are integral to commercialization of research at scale for societal impact. More info:

The AIMI Affiliates Program provides a structure for industry to engage effectively with our Center. Corporate members have an extraordinary opportunity to inform, influence, and collaborate on research projects. The program provides unrestricted support for AIMI’s research, teaching, and administ...

09/22/2022

We look forward to welcoming DJ Patil, Former U.S. Chief Data Scientist, on October 10 for a special fireside chat with Curt Langlotz on the current state and future of AI in healthcare. This is a hybrid event, with the online webinar open to all.

RSVP here: https://stanford.io/3R4AZkS

This is a hybrid event. In-person registration is open to the Stanford community only (including Stanford AIMI industry affiliates). If you are not a Stanford affiliate, please register to attend virtually here.

09/21/2022

Heartfelt congratulations to Alaa Youssef, Stanford AIMI postdoc, for being chosen as one of this year’s Stanford Postdoc JEDI Champion Award recipients. Stanford Postdoc JEDI Champion Awards is a recognition of current Stanford University postdoctoral scholars who have served as champions of initiatives, activities, or efforts that advance justice, equity, diversity, and inclusion at Stanford and beyond.

Since joining Stanford AIMI (David Larson’s Lab) in 2021, Alaa has consistently demonstrated an exceptional commitment to advancing JEDI through her leadership, mentoring, collaborations, and engagement. We congratulate her on this well-deserved recognition!


Postdoc mentors: David Larson, Curtis Langlotz, Matthew Lungren

09/19/2022

We’ve invited David Magnus to this week’s AIMI-IBIIS seminar on September 21, 1:30pm-2:30pm PT. Join us on Tuesday as we hear him discuss the “Ethical Challenges in the Application of of AI to Healthcare” focusing on the following topics:

1. The different challenges of data acquisition when applied to healthcare
2. The issues around justice and equity raised by AI in healthcare
3. The challenges with ethical oversight and governance in relation to research development of AI

Free and open to all:

Abstract:This presentation will focus on three issues. First, applying AI to healthcare requires access to large data sets. Data acquisition and data sharing raises a number of challenging ethical issues, including challenges to traditional understandings of informed consent, and importance of diver...

09/16/2022

Coming in hot! Check out our newest shared dataset: ECHONET-LVH

The EchoNet-LVH dataset includes 12,000 labeled echocardiogram videos and human expert annotations (measurements, tracings, and calculations) to provide a baseline to study cardiac chamber size and wall thickness: https://stanford.io/3BtFfVo

Huge thank you to lead investigator and AIMI associate scholar David Ouyang, and all Cedar Sinai, StanfordAIMI, and Stanford Med collaborators and staff.

Stanford AIMI shares annotated data to foster transparent and reproducible collaborative research. Our datasets are available to the public to view and use without charge for non-commercial research purposes.

PLEASE NOTE: All users of the AIMI data/images are expected to acknowledge Stanford AIMI in all publications, presentations, etc, with the following language: “This research used data provided by the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI). AIMI curated a publicl...

09/14/2022

Meet one of our newest affiliates! We’re delighted to have CARPL.ai join the Stanford AIMI Industry Affiliates Program. We believe industrial collaborators are one of the most important paths to commercialization of research at scale to achieve societal impact and look forward to working closely with them. Welcome!

More info: https://aimi.stanford.edu/industry-affiliates

From Managing Terabytes Of Data, To Testing And Deploying World-Class AI Solutions, CARPL Is Flexible Enough To Cater To Almost Any Medical Imaging Analytics Need

09/13/2022

ICYMI: Check out this AIMI Happy Hour from earlier this year about language models in medicine–the ins and outs of key health applications, new areas to explore, and the downsides of natural language processing (NLP). Moderated by AIMI Director Curt Langlotz and featuring panelists Beliz Gunel, Rogier van der Sluijs, Tina Hernandez-Boussard, and Meliha Yetisgen:

This live panel discussion is part of the AI Happy Hour series, brought to you by Stanford AIMI and friends. We cover hot topics in AI in medicine as well as...

09/02/2022

The AIMI Center launched its inaugural Summer Research Internship for high school students this past June, to inspire students to develop innovative AI solutions to advance human health. The two-week virtual program included lectures on AI in healthcare fundamentals, hands-on research projects, and mentoring activities with Stanford researchers. Read this fun blog post written by three interns about their experience: https://bit.ly/3AzCPEb

Intro to the team: The Philosophers!