Stanford Medcast Episode 28: Hot Topics Mini-series - Artificial Intelligence in Medicine

Dr. Curtis Langlotz, Professor of Radiology and Biomedical Informatics and Director of the Center for Artificial Intelligence in Medicine and Imaging at Stanford University, shares his insight about the current state of research in AI and how it is currently used in medicine and where it is going in the future. The discussion will also address how healthcare systems can prepare to take advantage of new AI tools as they are developed. Clinicians are encouraged to learn about AI and how it can help them in their practices.

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1. Assess the impact of AI technology in medicine today.
2. Analyze the impact of AI technology in your practice.

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 Enduring Material for a maximum of 0.50 AMA PRA Category 1 Credits^TM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity. 

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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

References/Bibliography
1. Langlotz P. Will Artificial Intelligence Replace Radiologists? Radiology: Artificial Intelligence. 2019. 1(3). https://doi.org/10.1148/ryai.2019190058
2. Dunnmon JA, Yi D, Langlotz CP, et al. Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs. Radiology. 2019. 290: 537-544. https://doi.org/10.1148/radiol.2018181422
3. U.S. Food & Drug Administration. Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices. Sept 2021. https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-aiml-enabled-medical-devices
4. Deng J, Dong W, Socher R, et al. ImageNet: A large-scale hierarchical image database. 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009, pp. 248-255, doi: 10.1109/CVPR.2009.5206848.
5. Howard J. Self-supervised learning and computer vision. fast.ai. 2021. https://www.fast.ai/2020/01/13/self_supervised/
6. Goddard K, Roudsari A, Wyatt JC. Automation bias: a systematic review of frequency, effect mediators, and mitigators. J Am Med Inform Assoc. 2012 Jan-Feb; 19(1): 121–127. doi: 10.1136/amiajnl-2011-000089
7. Larson DB, Chen MC, Lungren MP, et al. Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs. Radiology. 2018 Apr;287(1):313-322. doi: 10.1148/radiol.2017170236.

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     Email: [email protected]

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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)

Ruth Adewuya, MD
Managing Director
Stanford University

Course Director

Nothing to disclose

Curtis P Langlotz, MD, PhD
Professor of Radiology, Medicine, and Biomedical Data Science
Stanford University
Us

Faculty

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|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|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

Jennifer N John
Medcast Intern
Center for Continuing Medical Education

Planner

Independent Contractor (included contracted research)-Pandia Health (Relationship has ended)