Dr. Muhammad Mamdani,Temerty Centre for AI in Medicine (T-CAIREM) Director delivering a presentation on Responsible Implementation of #artificalintelligence in #healthcare at the Stanford AIMI 2023 Symposium

Early works from Google Health, Stanford AIMI, & others that applied deep learning to medical imaging were a huge inspiration for me to pursue medical AI.

Thus, I'm super excited to share some of my favorite #OpenAccess biomedical computer vision models for #OpenScienceWeek ! 🩻

Just had an incredible time presenting at Stanford AIMI! Proud to share our team's remarkable endeavor in developing a Generalist AI system for Echocardiography Interpretation!Grateful to the brilliant minds involved in this groundbreaking research. Stanford HAI Mayo Clinic CV

After 5 years, met Curt Langlotz who introduced me to the world of AI in Radiology as a high schooler at Stanford AIMI @Stanford

Glad to finally see him in-person.

Congratulations to Stanford’s interdisciplinary team improving medical imaging segmentation with self-supervised learning!
#StanfordRad Stanford AIMI Akshay Chaudhari MDPI
Full Paper: mdpi.com/2306-5354/10/2…

Associate Chief Medical Officer of Radiology Partners Clinical Ali
Radiology Partners Nina Kottler is presenting about utilization of technological innovation to drive value in radiology #AIMI23 Stanford AIMI

ChatGPT passes the Radiology Physics Quiz 🧲📝

Thrilled to have our abstract on LLM be accepted for presentation at RSNA 2023 🧑‍🏫

Dania Daye, MD PhD Stanford Radiology Stanford AIMI OpenAI Greg Brockman MIPS #RSNA23 #chatgpt

Excited for the session and panel discussion with Vivek Natarajan , Pranav Rajpurkar , and Weidi Xie on 'Building and Evaluating Foundation Models for Healthcare' at AI+Health 2023 conference organized by Stanford University Stanford AIMI Stanford HAI

Incredible MGB Radiology grand round by the legend Curt Langlotz on implications of recent #AI research for the future of radiology. Mass General Imaging Stanford AIMI Brigham and Women’s Radiology Education

Today in #EHJ , we present the 1st time an AI model has outperformed radiologists in detecting cardiac pathology.
❤️‍🩹 Potential screen for #CHF w/ CXRs
🌁 Trained Columbia Medicine validated Stanford AIMI
🩻 Entire dataset (75k CXRs) released
European Society of Cardiology Journals
shorturl.at/cOT16

Incredible talks and discussions today at the Stanford AIMI Symposium! Inspiring and insightful! Stanford AIMI 😊👏🏻

Cyril Zakka, MD Stanford AIMI Great work — on my pm reading list. Appreciate the adversarial section in particular. This one cracked me up. Needs clinical trial. 😂

Thrilled to attend #GrandRounds Curt Langlotz Stanford AIMI Stanford HAI RSNA Uncovering the #transformative impact of #AI in #radiology game-changing applications & shortcomings of #ChatGPT #LLMs Brigham and Women's Radiology Mass General Imaging Mass General Brigham #Innovation

Let's dive deeper into conversations on #ResponsibleAI in health & medicine! We'll discuss the immense potential & some critical considerations during back-to-back events: the RAISE Symposium (May 14) & the AIMI Symposium (May 15)! Stanford HAI stanford.io/3vtk5Ys

From all around the USA 🇺🇸 and the World 🌎Great minds gathered at #EmoryBiasAI2023 #Datathon Purpose: Uniting to debunk myths, decode biases and develop solutions in AI Judy Gichoya Hari Trivedi Nabile Safdar MIT Critical Data Black in AI Google Health Stanford AIMI

It was a pleasure to co-moderate the Stanford AIMI AI+Health conference session on AI Applications for Surgical Training with SUSurgeryResidency grad and Hopkins Surgery faculty Jeff Jopling Jeff Jopling . Congrats to our expert panel 🇺🇸🇨🇦 Andrew J. Hung, MD Ali Fazlollahi Recai Yilmaz Kenneth Perrone

🌟 Amazing talks/panels/discussion yesterday at Stanford AIMI & Stanford HAI 🌟

Thrilled to join long-time colleagues Eric Horvitz Nigam Shah Curt Langlotz Ida Sim to discuss using the latest generative AI technology to improve healthcare quality/access for patients and reducing…

In this special centennial editorial, Dr. Curt Langlotz of Stanford AIMI and Stanford Radiology shares his insight with 10 predictions on the future of AI and other aspects of informatics in radiology. bit.ly/473hiCh

Don't miss the Monday morning keynotes at #SPIEMedicalImaging 2024! Explore the world of machine learning, AI, and ultrasound tomography with experts Lena Maier-Hein of IMSY Lab (DKFZ), Neb Duric of URMC Imaging, & Curt Langlotz of Stanford AIMI.
spie.org/MI-Plenary-Eve…