LEARNING OBJECTIVES After participating in this activity, learners should be better able to: Assess current and emerging insights into AF, including associated comorbidities and risk factors SESSION OUTLINE Epidemiology, Burden, and Trends Risk Factors and Comorbidities Artificial Intelligence in AF AI-enabled AF detection (wearables, ECG algorithms) Risk prediction (incident AF, stroke, progression) AI in AF phenotyping and treatment selection Clinical and population-level impact of AF Identification of high-risk patients using traditional and AI-based tools Emerging role of AI in early detection and risk stratification
Credit & MOC Details
Credit information is provided by the course provider. We recommend confirming credit eligibility with the provider or your licensing board before starting the activity.
Credit types
MOC types
FDA REMS
Qualifies for MIPS
Target Specialties
Address:
- 104 Windsor Center Drive
Pricing
CME included with membership · $99–598/yr
| New Membership – Standard | $349/yr |
| New Membership – Standard (2-year) | $598/yr |
| New Membership – Military/VA | $259/yr |
| New Membership – Student/Resident | $149/yr |
| Renewal Membership – Standard | $249/yr |
| Renewal Membership – Standard (2-year) | $478/yr |
+27 more tiers
Collected from the provider’s public pages · source
Specialties served/covered
- Child & Adolescent Psychiatry
- Clinical Informatics
- Communication & Shared Decision-Making
- General & Adult Psychiatry
- General Surgery
- Interventional Radiology
- Mood & Anxiety Disorders
- Neurology
- Neuroradiology
- Nuclear Medicine
- Pain Medicine
- Pediatric Neurology
- Practice Management & Ethics
- Psychopharmacology
- Psychotic Disorders
- Sleep Medicine
- Cross-Specialty
- Medical Subspecialties
- Neurology
- Pain & Palliative
- Psychiatry
- Radiology
- Surgery
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Pricing
Free
Reported to ACCME by the provider
- On-demand / recorded video
- Credit · Up to 0.25 credits
- MOC · Up to 0.25 points
- Commercial Support
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ReleasedApr 1, 2026
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Last day to claim creditApr 2, 2027 6 months left
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American Medical Association Introduction to Artificial Intelligence (AI) in Health Care: Artificial Intelligence Learning Series
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American Medical Association AMA Artificial Intelligence Learning Series: AI in Health Care: Methodologies
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University of Wisconsin-Madison Interprofessional Continuing Education Partnership Artificial Intelligence Applications in Ophthalmology – Amitha Domalpally, MD, PhD; Roomasa Channa, MD
