2024 Grand Rounds -Artificial Intelligence in Children's Health: Hype vs. Hope (Dr. Julius M. and Marjorie R. Kantor Endowed Lectureship) - VIRTUAL ATTENDANCE ONLY

Thursday, October 31, 2024, 8:00 AM - 9:00 AM, Online

Click here to join the presentation from your laptop or computer. (VIRTUAL ATTENDANCE ONLY)

Local and national leaders present pediatric topics in their area of specialty during this weekly series. 

Objective(s): 1 Discuss the Current Landscape of AI in Pediatric Healthcare: Identify the most promising AI applications in pediatrics, including diagnostic tools, personalized treatment plans, and predictive analytics, and distinguish them from technologies that are overhyped or not yet validated. 2 Evaluate the Benefits and Limitations of AI in Pediatric Decision-Making: Assess how AI can enhance clinical decision-making, reduce diagnostic errors, and improve patient outcomes, while recognizing the limitations, biases, and ethical challenges associated with these technologies. 3 Differentiate Between Evidence-Based AI Tools and Unproven Technologies: Learn to critically appraise AI tools by examining the evidence behind their development and implementation, helping pediatricians separate realistic, evidence-based solutions from speculative or misleading claims. 4 Explore Ethical Considerations and Bias in AI Applications for Children: Discuss the ethical implications of AI in pediatrics, including data privacy concerns, potential biases in algorithms affecting children of diverse backgrounds, and the importance of maintaining human oversight. 5 Identify Practical Steps for Integrating AI into Pediatric Practice: Outline actionable strategies for integrating AI tools into clinical practice, emphasizing collaboration with AI experts, ongoing education, and ensuring that AI enhances rather than replaces the pediatrician's role in patient care.
Location: Adele Hall - Auditorium (West Lobby)
Specialties: Anesthesiology, Dental Clinic, Family Practice, Graduate Medical Education, Internal Medicine/Pediatrics, Ophthalmology, Orthopaedics, Pathology/Clinical Labs, Pediatrics, Radiology, Research, Surgery, All Specialties

Faculty Disclosures:
Anthony Chang, MD (Nothing to disclose - 09/05/2024)
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AMA PRA Category 1 Credits™ (1.00 hours), ABS CC (1.00 hours), Non-Physician Attendance (1.00 hours), Radiology (1.00 hours), Respiratory Therapy (1.20 hours), Social Work (1.00 hours)

1. Discuss the Current Landscape of AI in Pediatric Healthcare: Identify the most promising AI applications in pediatrics, including diagnostic tools, personalized treatment plans, and predictive analytics, and distinguish them from technologies that are overhyped or not yet validated.
2. Evaluate the Benefits and Limitations of AI in Pediatric Decision-Making: Assess how AI can enhance clinical decision-making, reduce diagnostic errors, and improve patient outcomes, while recognizing the limitations, biases, and ethical challenges associated with these technologies.
3. Differentiate Between Evidence-Based AI Tools and Unproven Technologies: Learn to critically appraise AI tools by examining the evidence behind their development and implementation, helping pediatricians separate realistic, evidence-based solutions from speculative or misleading claims.
4. Explore Ethical Considerations and Bias in AI Applications for Children: Discuss the ethical implications of AI in pediatrics, including data privacy concerns, potential biases in algorithms affecting children of diverse backgrounds, and the importance of maintaining human oversight.
5. Identify Practical Steps for Integrating AI into Pediatric Practice: Outline actionable strategies for integrating AI tools into clinical practice, emphasizing collaboration with AI experts, ongoing education, and ensuring that AI enhances rather than replaces the pediatrician's role in patient care.

Children's Mercy Hospital  designates this live activity for a maximum of 1.20 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

 

Cancellation Policy

Children's Mercy Kansas City reserves the right to cancel or postpone this program if necessary. We are not responsible for other costs incurred such as non-refundable airline tickets or hotel penalties.

Accessibility Statement
 
Children's Mercy Kansas City 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 [email protected].

Mitigation of Relevant Financial Relationships

Children's Mercy Continuing Medical Education adheres to the 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.

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