Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI)’s Post

🌟 AI Faculty Cluster Hire at Stanford University School of Medicine! We are thrilled to announce open faculty positions in our dynamic AI Faculty Cluster Hire Search, welcoming candidates at all ranks in the fields of biomedical AI and data science. We are specifically interested in candidates who have experience developing and applying novel biomedical AI and data science methods that incorporate biomedical domain expertise to ensure relevance and impact to health and medicine. This initiative aims to foster significant growth in both research and clinical AI applications across multiple specialties. 🔍 Position Highlights: - Open to Assistant, Associate, or Full Professors - Available in University Tenure Line, University Medical Line, or Non-Tenure Line-Research - Must have an MD, MD/PhD, or PhD with substantial expertise in biomedical data science, enhanced by AI - Will develop an independent research program that advances AI approaches to biomedical data science, with a focus on their use in basic, translational, clinical, and/or population sciences. This AI Faculty Cluster Hire Search aims to recruit a diverse group of experts dedicated to fostering growth of biomedical AI and data science both within our organization and beyond. These distinguished individuals will become integral members of a dynamic community, collaborating not only within their respective departments or institutes but also across the SoM and our university at large. 📅 Review of complete applications will begin on September 23, 2024, and will continue until the positions are filled. 🌟 MORE INFO: https://lnkd.in/gGnrRdwr Search Committee Co-Chairs:  Curtis Langlotz, Natalie Pageler MD, Nima Aghaeepour, Olivier Gevaert #StanfordMedicine #AIFaculty #AIResearch #FacultyHiring #BiomedicalDataScience #HealthcareInnovation

We're thrilled to welcome Bayer as the latest member of the Stanford AIMI community! Our Industry Affiliate Program provides a dynamic platform for a two-way exchange of expertise, fostering tailored engagement and educational opportunities. While our members contribute insights on real-world use cases and provide essential support for our research, the AIMI community enriches the experience for our industry affiliates by fostering an open dialogue from academia to real-world applications. This collaboration advances health and medicine through shared AI initiatives and like-minded innovation. We look forward to great things ahead with Bayer! Discover more about the AIMI Industry Affiliate program and how you can get involved: https://lnkd.in/eagfttri #AIMIIndustryAffiliate #AcademicIndustryPartnerships

Reflecting on an inspiring trip to Toronto in June, where we connected with many AI in medicine colleagues! The first stop was University of Toronto for T-CAIREM's inaugural symposium, "Multi-Modal Data and the Future of Health AI." This was a fantastic opportunity to explore how multi-modal AI can enhance clinical practice and contribute to a broader understanding of health. Next, we attended the Alliance for Centers of AI in Medicine (ACAIM)'s annual in-person meeting. ACAIM is a consortium of academic centers from around the world with a focus on AI in all dimensions of medicine and healthcare. Founded by Anthony Chang, MD, MBA, MPH, MS, the group meets regularly to facilitate communication and collaboration among members. As a founding member, it's gratifying to witness ACAIM's growth with over 100 centers globally, including 40 AI initiatives in pediatric health institutions. We were proud to have Alaa Youssef from the AIMI Center represent us on the panels. A big thank you to our hosts in Canada for a memorable experience! #AIInMedicine #FutureOfHealth #ArtificialIntelligence 

The future of AI in healthcare and medicine looks bright! ⭐ Just closed the book on two terrific weeks of growth and exploration at the AIMI Summer Research Internship and Bootcamp! 📘🚀 The AIMI Summer Research Internship offers high school students the opportunity to explore technical and clinical aspects of AI in healthcare. Out of 1500 incredibly talented applicants for this year, 26 interns and 5 student leads were selected to join us for hands-on research, career development, and lectures spanning a variety of subjects in healthcare AI. Topics included introductions to U.S. healthcare, AI and machine learning, basics of computer vision, language models, detecting and mitigating bias in machine learning and more! Concurrently, we ran the inaugural AIMI Summer Health AI Bootcamp--an enriching and engaging educational experience for high school learners of all technical levels. This year's program received 1,700 stellar applicants and 36 students were chosen to participate. We explored foundational concepts and principles for machine learning, deep learning and foundation models for healthcare, the current state of AI applications in health and medicine, ethics and responsible health AI, policy and legal aspects of medical AI technologies, evaluation and metrics and so much more! It was such a joy to virtually bring students together from all corners of the U.S. These learning opportunities wouldn't be possible without the help and leadership of our incredible community! High school programs co-directors: Johanna Kim & Alaa Youssef Guest Faculty: Matthew Lungren MD MPH, Serena Yeung, Kevin Schulman, Jason Fries, Zach Harned Mentors: Alaa Youssef, Jean-Benoit Delbrouck, Maya Varma, Sophie Ostmeier, Zhihong Chen and Magda Paschali Lunch & Learn Speakers: Curtis Langlotz, Dr Geraldine Dean, Jonathan H. Chen, Enhao GONG, Angela Aristidou, Parminder Bhatia, Jessica Mega, and Thomas Wang Staff: Michelle Phung, MS, PMP, Jacqueline Thomas, Gabriel Yip ⭐ Our next high school event will be a NextGen Tech Talk on August 26, 2024. RSVP here: https://lnkd.in/eT-WCdfG #HealthAI #AIInMedicine #ResponsibleAI #MachineLearning #LanguageModels

CheXpert Plus, the latest and most advanced version of the CheXpert dataset, was recently released and is already being used by many researchers around the world! We are so excited by the depth and breadth of its offerings and what they mean for human health! The History: The original CheXpert dataset, released by the AIMI Center five years ago under Matthew Lungren MD MPH's leadership, is a comprehensive collection of medical text and images. CheXpert has been used by researchers around the world and cited more than 6,000 times! Latest Developments:  This effort has grown from its original form and continues to evolve! The newest iteration, CheXpert Plus, aims to address contrastive learning and algorithmic fairness. It includes radiology reports, demographic data, DICOM images, pathology labels and RadGraph extractions. Here's a look at this incredible dataset and its related new reports by the numbers: -223,462 unique pairs of radiology reports and chest X-rays -Across 187,711 studies  -From 64,725 patients -187,711 radiology reports accompany the images -Each report is divided into 11 subsections -Includes annotations for 14 different chest pathologies across the studies, alongside eight metadata elements concerning patient information The data also underwent an extensive de-identification process, with help from the privacy offices at Stanford and our friends at VinBrain. Special thanks to Andrew Ng, Pranav Rajpurkar and Matthew Lungren for their original CheXpert vision! CheXpert Resources: Data set: https://lnkd.in/ea75XZAJ Arxiv paper: https://bit.ly/3xDIwmX De-ID Algorithm paper: https://bit.ly/3RJD88P Hugging Face De-ID Algorithm: https://bit.ly/3zmljq0 See more in this X post from the AIMI Center's Curtis Langlotz: https://bit.ly/3RJwr6A #CheXpert #Datasets #BigData #AIInMedicine #Radiology #Medicalmaging

Episode 4 of the AIMI Center's NextGen Tech Talk with Jessica Mega begins *today* at 12 p.m. PDT! Don't miss this free webinar, open to all ages, moderated by Lynbrook High School's Nidhi Parthasarathy and incoming Stanford University freshman Taylor Tam. Event Details: https://lnkd.in/gzsYffmH  Registration: https://bit.ly/3RH9Asc About Next GenTech Talks:  This engaging live webinar series is tailored for high school students who are interested in AI in medicine and health. These online events provide an opportunity to gain insights from distinguished experts who are shaping healthcare through technology. Participants will also have the chance to directly interact with speakers through a live Q&A session! #NextGenTechTalk #MachineLearning #MedicalImaging #AIInMedicine

Congratulations to Stanford Institute for Human-Centered Artificial Intelligence (HAI) on their fifth anniversary! HAI has become a leading force in driving advancements for responsible and #HumanCenteredAI to truly benefit society. Today's commemorative #HAIatFIVE event brought together experts to address some of the most pressing issues for AI, exploring how to ensure this technology is developed with humans at the center. AIMI Center's director Curtis Langlotz provided crucial insights on advancements in AI for health and medicine, highlighting the importance of continued innovation and partnerships in this field. We look forward to the continued impact we will make together in AI for health and medicine. Congratulations, again! Learn more:  https://lnkd.in/eRvaXiqM