Just three years after ChatGPT’s launch, healthcare has emerged as a surprising early adopter of AI. Dr. Robert Wachter, chair of the UCSF Department of Medicine examines whether this technology will finally deliver on medicine’s long-promised digital transformation. While acknowledging traditional concerns like hallucinations and bias, he ll argue that there are grounds for informed optimism on the part of both patients and physicians. He ll also wrestle with some of the vexing questions raised by AI: how automation quietly erodes the skills of clinicians who rely on it, why the “human in the loop” is less reassuring than it sounds, and what it actually takes to restructure a healthcare organization around AI’s possibilities. This course is one of three courses in our AI learning series. Each course explores different aspects of AI and builds a broader understanding of how these tools can be used effectively. We encourage participants to complete the full series. AI in Medicine: What Every Clinician Needs to Know in 2026 Balancing Innovation and Obligation Ethical Use of AI in Medicine
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
Pricing
CME included with membership · $60–450/yr
| MMS Physician Member | $60 |
| MMS Resident/Student Member | Free |
| Non-Member Physician | $135 |
| Non-Member Resident/Student | $30 |
| Allied Health Professional/Other | $48 |
| MMS Regular Annual Membership (Physician) | $450/yr |
+4 more tiers
Collected from the provider’s public pages · source
Specialties served/covered
- Adolescent Medicine
- Allergy & Clinical Immunology
- Clinical Informatics
- Communication & Shared Decision-Making
- Endocrinology, Diabetes & Metabolism
- Family Medicine
- General Internal Medicine
- General Pediatrics
- Health Equity & Inclusion
- Infectious Disease
- Neurology
- Patient Safety & Quality Improvement
- Practice Management & Ethics
- Pulmonary Disease
- Urology
- Cross-Specialty
- Infectious Disease
- Internal Medicine
- Medical Subspecialties
- Neurology
- Pediatrics
- Primary care
- Urology
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- Enduring / On-demand
- Credit · Up to 1 credit
- Fee · varies
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ReleasedJun 17, 2026
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Last day to claim creditJun 18, 2029 3 years left
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Massachusetts Medical Society Balancing Innovation and Obligation Ethical Use of AI in Medicine
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Massachusetts Medical Society AI in Medicine: What Every Clinician Needs to Know in 2026
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