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AIMI Grand Rounds

  • Overview
  • Faculty
  • Agenda
Add to Calendar AIMI Grand Rounds 1/28/2025 8:00:00 AM 1/28/2025 9:00:00 AM America/Los_Angeles For More Details: https://stanford.cloud-cme.com/course/courseoverview?EID=49339 Description: The Stanford Artificial Intelligence Grand Rounds, sponsored by the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI), is a crucial initiative for disseminating the latest AI advancements in medicine, aiming to drive transformative innovations in healthcare. It provides healthcare professionals and learners with up-to-date, evidence-based, and transformative knowledge necess... Li Ka Shing Center for Learning and Knowledge (LKSC) false MM/DD/YYYY


Date & Location
Occurs monthly on the last Tuesday starting on 1/28/2025 at 8:00 AM
Tuesday, January 28, 2025, 8:00 AM - 9:00 AM PST, Li Ka Shing Center for Learning and Knowledge (LKSC), Stanford, CA

Overview
The Stanford Artificial Intelligence Grand Rounds, sponsored by the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI), is a crucial initiative for disseminating the latest AI advancements in medicine, aiming to drive transformative innovations in healthcare. It provides healthcare professionals and learners with up-to-date, evidence-based, and transformative knowledge necessary for enhancing clinical decision making and healthcare delivery with AI. This series offers interdisciplinary lectures from renowned AI experts across medicine, engineering, and other fields, sharing cutting-edge research, clinical best practices, and other critical considerations related to AI implementation in healthcare. Participants will gain knowledge and tools to apply AI effectively in their practice, fostering innovation and excellence in patient care, and setting new standards in clinical excellence.

Credits
AMA PRA Category 1 Credits™ (1.00 hours), Non-Physician Participation Credit (1.00 hours)

Target Audience
Specialties - Radiology
Professions - Fellow/Resident, Non-Physician, Physician, Student

Objectives
At the conclusion of this activity, learners should be able to:

  1. Evaluate and select appropriate AI tools for specific clinical scenarios, considering factors such as accuracy, reliability, ethical considerations, and integration into existing workflows.
  2. Develop strategies for the responsible implementation of AI in healthcare settings, aiming to enhance the quality of care delivery.
  3. Utilize evidence-based guidelines derived from systematic reviews and clinical trials to inform decision-making regarding AI technologies in clinical practice to optimize patient outcomes.

Accreditation

In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. 

Credit Designation 
American Medical Association (AMA) 
Stanford Medicine designates this Live Activity for a maximum of 1.00 AMA PRA Category 1 CreditsTM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity. 


Additional Information

Accessibility Statement
 Stanford University School of Medicine is committed to ensuring that its programs, services, goods and facilities are accessible to individuals with disabilities as specified under Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Amendments Act of 2008.  If you have needs that require special accommodations, including dietary concerns, please contact the CME.

Cultural and Linguistic Competency
The planners and speakers of this CME activity have been encouraged to address cultural issues relevant to their topic area for the purpose of complying with California Assembly Bill 1195. Moreover, the Stanford University School of Medicine Multicultural Health Portal contains many useful cultural and linguistic competency tools including culture guides, language access information and pertinent state and federal laws.  You are encouraged to visit the Multicultural Health Portal: https://laneguides.stanford.edu/multicultural-health

For activity related questions, please contact
     Name: Michelle Phung
     Email: [email protected]

For CME general questions, please contact 
 
   Email: [email protected]



Mitigation of Relevant Financial Relationships


Stanford Medicine adheres to the Standards for Integrity and Independence in Accredited Continuing Education.

There are no relevant financial relationships with ACCME-defined ineligible companies for anyone who was in control of the content of this activity, except those listed in the table below. All of the relevant financial relationships listed for these individuals have been mitigated.



Member Information
Role in activity
Nature of Relationship(s) / Name of Ineligible Company(s)
Curtis P Langlotz, MD
Professor of Radiology, Medicine, and Biomedical Data Science
Stanford University
Us
Course Director
Stocks or stock options, excluding diversified mutual funds-Bunkerhill Health|Stocks or stock options, excluding diversified mutual funds-Galileo CDS|Stocks or stock options, excluding diversified mutual funds-Adra.ai|Stocks or stock options, excluding diversified mutual funds-Nines (Relationship has ended)|Stocks or stock options, excluding diversified mutual funds-Sirona Medical|Stocks or stock options, excluding diversified mutual funds-whiterabbit.ai|Grant or research support-GE Healthcare|Grant or research support-Philips Medical Systems, Inc.|Grant or research support-Siemens AG|Grant or research support-Carestream|Grant or research support-Google Cloud|Grant or research support-Nines (Relationship has ended)|Grant or research support-IBM|Grant or research support-IDEXX (Relationship has ended)|Grant or research support-Lunit|Grant or research support-Lambda|Grant or research support-Microsoft|Grant or research support-Subtle Medical|Advisor-Sixth Street|Grant or research support-Visiana|Grant or research support-Amazon Web Services
Johanna Kim, MPH, MBA
Executive Director
Stanford University
Planner
Nothing to disclose
Jeanne Jeanne Shen, MD
Associate Professor
Stanford University
Us
Planner
Grant or research support-Lunit, Inc. (Relationship has ended)
Sergios Gatidis, MD
Stanford
Planner and Reviewer
Nothing to disclose

Sort by: Date Name

Date Empty Column Title
6/24/2025 8:00:00 AM AIMI Grand Rounds: Dr. Geoff Sonn, MD - The Opportunity for AI to Improve Prostate Cancer Detection and Treatment 6/24/2025 8:00:00 AM 6/24/2025 9:00:00 AM 6 A Live Webinar False MM/DD/YYYY AIMI Grand Rounds: Dr. Geoff Sonn, MD - The Opportunity for AI to Improve Prostate Cancer Detection and Treatment

The Stanford Artificial Intelligence Grand Rounds, sponsored by the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI), is a crucial initiative for disseminating the latest AI advancements in medicine, aiming to drive transformative innovations in healthcare. It provides healthcare professionals and learners with up-to-date, evidence-based, and transformative knowledge necessary for enhancing clinical decision making and healthcare delivery with AI. This series offers interdisciplinary lectures from renowned AI experts across medicine, engineering, and other fields, sharing cutting-edge research, clinical best practices, and other critical considerations related to AI implementation in healthcare. Participants will gain knowledge and tools to apply AI effectively in their practice, fostering innovation and excellence in patient care, and setting new standards in clinical excellence.

Objective(s): 1 To understand the current gaps in prostate cancer diagnosis 2 To understand the role of prostate cancer focal therapy 3 To understand how AI may be able to improve prostate cancer diagnosis and treatment
Location: A Live Webinar
Specialties: Radiology

Faculty Disclosures:
Geoffrey Alexander Sonn, MD (Nothing to disclose - 03/23/2025)
Download Handout
Location: A Live Webinar
Specialties: Radiology

 

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