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Foundations of Artificial Intelligence in Medicine: Data, Ethics, and Clinical Impact


Foundations of Artificial Intelligence in Medicine: Data, Ethics, and Clinical Impact Banner

  • Overview
  • Faculty
  • Content


Date & Location
Friday, October 24, 2025, 12:00 AM - Thursday, January 22, 2026, 11:59 PM, Online

Target Audience
Specialties - Internal Medicine

Credits
AOA Category 1-A (5.00 hours), Non-Physician Attendance (5.00 hours)

Overview

Explores the foundational role of data in AI, including the importance of data quality, privacy, interoperability, and governance. Discusses how data pipelines influence the accuracy and utility of clinical AI tools.

Presentations by Bradley Anderson, D.O.

  • Data Management and Healthcare

  • Basic Concepts of Artificial Intelligence in Medicine

  • Machine Learning in Medicine: A Comprehensive Introduction

  • Ethics, Bias, and Regulation of Artificial Intelligence in Medicine

  • AI in Action: Practical Steps for Healthcare Integration


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

  1. Define core concepts of artificial intelligence, including machine learning, deep learning, and natural language processing, as they relate to medical practice.
  2. Describe current and emerging applications of AI across major medical specialties (e.g., radiology, pathology, cardiology, primary care).
  3. Assess the ethical implications of artificial intelligence in clinical practice, including issues of algorithmic bias, data privacy, transparency, accountability, and the impact on patient autonomy and clinician patient relationships.
  4. Evaluate the accuracy, validity, and potential biases of AI tools using clinical data and evidencebased standards.
  5. Identify opportunities and challenges for integrating AI technologies within ones clinical setting or healthcare system.
  6. Integrate the osteopathic principles of holistic, patientcentered care and the interrelationship of structure and function when evaluating and applying AI technologies in clinical decision making, ensuring that technological tools enhance rather than replace the human connection in the physician patient relationship.

Registration

Registration Information

Registration rate:  $125

OSU-CHS Employees:
Contact [email protected] to receive a promo code for complimentary registration.


Accreditation

AOA Credit

The Oklahoma State University College of Osteopathic Medicine is accredited by the American Osteopathic Association to provide osteopathic continuing medical education for physicians. The Oklahoma State University College of Osteopathic Medicine designates this program for a maximum of 5 AOA Category 1-A credit(s), and will report CME and specialty credits commensurate with the extent of the physician’s participation in this activity.


Additional Information

Questions

For questions about accessing course content or general inquiries, please contact our staff at [email protected]

Program Attendee Notice

Concerns about the program’s compliance with the AOA Uniform Guidelines, please contact:

Ashley Groom, DHA, Director of Continuing Medical Education

For any unresolved issues regarding compliance with the AOA Uniform Guidelines, you may contact the AOA:
American Osteopathic Association:
Council on Continuing Medical Education
142 E. Ontario St., Chicago, IL 60611

(312) 202-8000

The Oklahoma State University Center for Health Sciences, College of Osteopathic Medicine, adheres to AOA Guidelines for CME Sponsors and the ACCME Criteria, Standards and Policies regarding industry support of continuing medical education. Disclosure of faculty and their commercial relationships will be made prior to the activity.

Mitigation of Relevant Financial Relationships

Oklahoma State University Continuing Medical Education adheres to the American Osteopathic Associations Guideline for CME Sponsors and ACCME’s Standards for Integrity and Independence in Accredited Continuing Education. Any individuals in a position to control the content of a CE activity, including faculty, planners, reviewers or others are required to disclose all relevant financial relationships with ineligible entities (commercial interests). All relevant conflicts of interest have been mitigated prior to the commencement of the activity.

Member Information
Role in activity
Nature of Relationship(s) / Name of Ineligible Company(s)
Ashley Groom, DHA
Director of Continuing Medical Education
OSU-CHS
Activity Administrator, Other Planning Committee Member
Nothing to disclose
Faculty Photos
Bradley W Anderson, DO
Oklahoma State University
Course Director, Faculty
Nothing to disclose
Faculty Photos
Natasha Bray, DO
Dean OSU-CHS Cherokee Nation Campus
Other Planning Committee Member
Nothing to disclose
Jade Byron, Bachelor's of Science
Manager of Continuing Medical Education
OSU CHS
Other Planning Committee Member
Nothing to disclose
Faculty Photos
Jennifer Cox, DO
Attending
OSU-CHS
Other Planning Committee Member
Nothing to disclose
Faculty Photos
Zachary S Griffin, DO
OSU
Other Planning Committee Member
Nothing to disclose

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Foundations of Artificial Intelligence in Medicine: Data, Ethics, and Clinical Impact - Presentations & Required Attestation

To claim your CME credit:  Watch the presentation(s), answer the attestation question, then complete the evaluation.  The evaluation link will be available at the end of the attestation or can be found on My CME > Evaluations & Certificates after attestation is complete.  Upon completion of the evaluation, credits will be posted to your transcript and certificate will be available on My CME > Evaluations & Certificates.

Once CME credit has been earned, you will continue to have access to re-watch these presentations at liberty, by going to My CME > Registrations & Receipts > selecting the course name, then Content. 

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