Stanford AIMI
AIMI Grand Rounds: Responsible AI at Stanford Health Care - Nigam Shah, MBBS, PhD
Stanford AIMI
AIMI NextGen Tech Talk Ep. 7 | Data for Health AI with Madalena Ng & Alaa Youssef
Stanford AIMI
AIMI Grand Rounds: Developing Clinically Useful AI for Radiology - Curtis Langlotz, MD, PhD
Stanford AIMI
2025 Stanford AIMI High School Summer Programs (Internship & AI Bootcamp) Info and Q&A Session
Stanford AIMI
AIMI NextGen Tech Talk Ep. 6 | Health AI Beyond ChatGPT with Jonathan Chen
Stanford AIMI
AIMI NextGen Tech Talk Ep. 5 | AI Startup Spotlight: Nish Khandwala (Bunkerhill Health)
Stanford AIMI
AIMI NextGen Tech Talk Ep. 4 | Jessica Mega, MD
Stanford AIMI
#AIMI24 | Session 2: Innovating for Clinical Excellence and Improved Outcomes
Stanford AIMI
#AIMI24 | Panel 1: A Conversation on the Cutting Edge with Healthcare AI Industry Leaders
Stanford AIMI
#AIMI24 | Panel 2: Harmonizing Standards Towards Responsible Health AI
Stanford AIMI
#AIMI24 | Welcome and Opening Remarks - Serena Yeung, Sergios Gatidis, Curt Langlotz, David Studdert
Stanford AIMI
#AIMI24 | Session 1: Navigating the New Era of Foundation Models and Generative AI
Stanford AIMI
#AIMI24 | Keynote Talk and Fireside Chat - Matthew Lungren
Stanford AIMI
#AIMI24 | Session 3: Scaling AI Implementation for Real-World Impact and Closing Remarks
Stanford AIMI
AIMI NextGen Tech Talk Ep. 3 | Machine Learning in Medical Imaging Akshay Chaudhari, Sergios Gatidis
Stanford AIMI
AIMI-IBIIS Seminar | Roxana Daneshjou - AI in Health: Closing the Gap or Increasing Disparities
Stanford AIMI
Alaa Youssef & Madelena Ng - Charting A Path Towards an Equitable Data Ecosystem
Stanford AIMI
Arjun Desai & Rogier van der Sluijs - VOXEL: Fast Medical Image Processing Pipelines
Stanford AIMI
Fonette Fonjungo & Edward Eid - Using Digital Technology for Home-based Monitoring of Skin Diseases
Stanford AIMI
Chieh-Ju Chao - Toward AI-enabled Automatic Echocardiography Reporting: Challenges and Solutions
Stanford AIMI
Keith Morse - Protecting Adolescent Confidentiality with NLP and Implementation
Stanford AIMI
David Kim & Julia Reisler - Augmenting Physician Capabilities with AI Powered Patient Monitoring
Stanford AIMI
AIMI NextGen Tech Talk Ep. 2 | AI in Emergency Medicine (Maya Yiadom, Gabrielle Bunney, Rana Kabeer)
Stanford AIMI
Stanford AIMI High School Summer Programs (Research Internship & AI Bootcamp) Info and Q&A Session
Stanford AIMI
AIMI NextGen Tech Talk, Ep. 1 | Artificial Intelligence in Medicine (Curtis Langlotz)
Stanford AIMI
Zach Harned - HIPAA, Medical AI, and Privacy
Stanford AIMI
#AIMI23 | Panel: Industry Perspectives of Health AI in 2023
Stanford AIMI
#AIMI23 | Keynote Talk and Fireside Chat - Taha Kass-Haut
Stanford AIMI
#AIMI23 | Session 2: Generative AI in Health
Stanford AIMI
#AIMI23 | Session 1: Responsible Implementation of AI in Health Care
Stanford AIMI
#AIMI23 | Welcome and Opening Remarks - Curt Langlotz
Stanford AIMI
#AIMI23 | Opening Remarks - Lloyd Minor
Stanford AIMI
#AIMI23 | Keynote Fireside Chat: Revolutionizing Healthcare Through Generative AI
Stanford AIMI
#AimiGPT | Panel 3: The Ethics, Equity, and Regulation around LLMs/ChatGPT
Stanford AIMI
#AimiGPT | Panel 1: LLMs & Direct-to-Consumer Health: Can they improve diagnosis & management?
Stanford AIMI
#AimiGPT | Large Language Models for Health 101
Stanford AIMI
#AimiGPT | Panel 2: How might LLMs/ChatGPT support clinicians in diagnostic decision-making?
Stanford AIMI
#AimiGPT | Introductory Remarks
Stanford AIMI
AIMI Seminar | Pranav Rajpurkar - Big Bets of Teaching Machines to Read Medical Images
Stanford AIMI
Learning to Read X-Ray: Applications to Heart Failure Monitoring - Polina Golland, PhD
Stanford AIMI
AIMI Fireside Chat with DJ Patil (Former US Chief Data Scientist) and Curt Langlotz (AIMI Director)
Stanford AIMI
Markus Anderljung - Toward Trustworthy AI
Stanford AIMI
AI Happy Hour | 2022 AI Index: Key Health Findings
Stanford AIMI
#AIMI22 | Symposium Closing Remarks - Daniel Yang, MD
Stanford AIMI
#AIMI22 | Fireside Chat - Safe, Fair and Ethical AI in Healthcare
Stanford AIMI
#AIMI22 | Panel Discussion - Strategic Industry-Academic Partnerships
Stanford AIMI
#AIMI22 | Opening Address - Ruth OHara, Sr Associate Dean of Research, Stanford School of Medicine
Stanford AIMI
#AIMI22 | Opening Remarks - Akshay Chaudhari & Jeanne Shen
Stanford AIMI
#AIMI22 | Vision Talks 4- Open Data and Democratizing AI for Health
Stanford AIMI
#AIMI22 | Vision Talks 3- Orchestrating the Delivery of Health Care
Stanford AIMI
#AIMI22 | Vision Talks 2: Improving the Practice of Clinical Medicine
Stanford AIMI
#AIMI22 | Vision Talks 1- Advancing the Scientific Understanding of Disease
Stanford AIMI
#AIMI22 | Welcome - Curt Langlotz, Stanford AIMI Director
Stanford AIMI
Liqin Wang - Development and Validation of a DL Model for Earlier Detection of Cognitive Decline
Stanford AIMI
Zach Harned - FDA, AI/ML, and Medical Devices
Stanford AIMI
Using AI for Longitudinal Tumor Response Monitoring - Harini Veeraraghavan, PhD
Stanford AIMI
Laleh Seyyed-Kalantari - Underdiagnosis Bias of AI Algorithms Applied to Chest Radiographs
Stanford AIMI
AI Happy Hour | Language Models in Medicine
Stanford AIMI
Stanford AIMI Live Stream
Stanford AIMI
AI In Clinical Use: Lessons Learned - Nina Kottler, MD, MS (Radiology Partners)
Stanford AIMI
Haitham Elmarakeby - Biologically Informed Deep Neural Network for Prostate Cancer Discovery
Stanford AIMI
AI Happy Hour | AI and Breast Imaging
Stanford AIMI
Brett Beaulieu-Jones - Privacy-Preserving Generative Deep NNs Support Clinical Data Sharing
Stanford AIMI
IBIIS-AIMI Retreat | Career Transitions Panel Discussion with Stanford AIMI/IBIIS Faculty & Alumni
Stanford AIMI
IBIIS-AIMI Keynote & Fireside Chat | Alexei Efros - Self-Supervision for Learning from the Bottom Up
Stanford AIMI
Evan Calabrese - Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas
Stanford AIMI
Christine Lee - Interpretable Neural Network for Prediction of Postoperative In-Hospital Mortality
Stanford AIMI
AI Happy Hour | Women at the Forefront of Medicine & AI
Stanford AIMI
AI Happy Hour | AIMI Symposium Q&A
Stanford AIMI
BOLD-AIR Summit 2021 | Session 3: Regulation
Stanford AIMI
BOLD-AIR Summit 2021 | Session 1: Data Sharing & Patient Privacy
Stanford AIMI
BOLD-AIR Summit 2021 | Session 2: Ethics of Safety, Reliability, and Patient Protection
Stanford AIMI
BOLD AIR Summit 2021 | Session 4: Ensuring Ethical Use of AI in Radiology in the Coming Decade
Stanford AIMI
#AIMI21 | Industry/Academic Partnerships Panel Discussion
Stanford AIMI
#AIMI21 | Fireside Chat with Rachel Thomas and Nigam Shah
Stanford AIMI
#AIMI21 | Welcome & Opening Remarks by Curt Langlotz, John Etchemendy & Andrew Ng
Stanford AIMI
#AIMI21 | Fireside Chat with Eric Horvitz and John Markoff
Stanford AIMI
#AIMI21 | Session 4: New Developments in Medical AI
Stanford AIMI
#AIMI21 | Session 1: Role of AI in Diagnostic Excellence
Stanford AIMI
#AIMI21 | Keynote by Fei-Fei Li on Ambient Intelligence in Healthcare
Stanford AIMI
#AIMI21 | Session 3: Fairness, Generalizability & Societal Impact
Stanford AIMI
#AIMI21 | Session 2: Current Areas of Impact in AI
Stanford AIMI
#AIMI21 | Session 5: Improving Patient Outcomes with AI: Translation & Implementation
Stanford AIMI
2021 AIMI Symposium Program Preview
Stanford AIMI
Kilian Pohl - Training Confounder-Free Deep Learning Models for Medical Applications
Stanford AIMI
David Eng - Automated Coronary Calcium Scoring Using Deep Learning Multicenter External Validation
Stanford AIMI
Sahil Singla - Understanding Failures of Deep Networks via Robust Feature Extraction
Stanford AIMI
AI Happy Hour | Solving Specific Clinical Problems with AI
Stanford AIMI
Nigam Shah - A Framework for Making Predictive Models Useful in Practice
Stanford AIMI
AI Happy Hour | Hottest Topics in AI in Medicine as of May 2021
Stanford AIMI
AIMI Invited Lecture - ANTHONY CHANG: Musings of a Clinician-Data Scientist
Stanford AIMI
AI Happy Hour | Unglamorous Aspects of AI in Medicine With Glamorous People
Stanford AIMI
AIMI Invited Lecture - ZIAD OBERMEYER: Dissecting Algorithmic Bias
Stanford AIMI
Fusion of Multi-Modal Data Stream for Clinical Event Prediction - Imon Banerjee, PhD
Stanford AIMI
Computer Vision to Phenotype Human Diseases Across Physiological and Molecular Scales - James Zou
Stanford AIMI
Ben Kompa - Second Opinion Needed: Communicating Uncertainty in Medical Machine Learning
Stanford AIMI
Rikiya Yamashita - Deep Learning Model for the Prediction of Microsatellite Instability
Stanford AIMI
Shinjini Kundu - How Might AI and Chest Imaging Help Unravel COVID-19's Mysteries?
Stanford AIMI
AI Happy Hour | Pharma AI
Stanford AIMI
AI Happy Hour | Legal Considerations for AI in Medicine