Massachusetts Medical Society: AI in Practice: From Clinical Use to Ethical Liability

AI in Practice: From Clinical Use to Ethical Liability

AI in Practice: From Clinical Use to Ethical Liability

AI is reshaping how clinicians diagnose, document, and deliver care. This session (recorded March 21, 2026) offers real examples and clear guidance on the legal and ethical issues that come with AI tools, from diagnostics to telemedicine and therapy chatbots. You will learn how to evaluate new technologies, protect yourself from liability, and communicate effectively with patients. Attendees will leave with practical strategies that strengthen decision-making and support safe, confident use of AI in practice.

This course was a part of the Future Health: Best Practices for Advancing Care 2026 Conference. To view all sessions, click here.

Moderator

Mifrah Hayath
Mifrah Hayath, MS, MBE
Teaching Fellow, Harvard University


Faculty

Manisha BahlManisha Bahl, MD, MPH
Associate Medical Director of Quality for Breast Imaging, Mass General Brigham
Associate Professor of Radiology, Harvard Medical School


Isabella MakIsabella Mak, MD
Clinical Fellow, Harvard Medical School
Harvard South Shore Psychiatry Residency Program, VA Boston Healthcare System


Adrian GropperAdrian Gropper, MD
Founder, HIE of One




Intended Audience

  • Practicing physicians and physician leaders
  • Senior-level health care executives
  • Nurses and advanced practice providers
  • Public health and government leaders
  • CIOs, CMIOs, and innovation leaders in health care technology

Course Objectives
Upon completion of this activity, learners should be able to:

  • Understand how AI is currently applied to diagnostic tools (e.g., breast imaging) to support detection and workflow efficiency, while recognizing the benefits and limitations of integration.
  • Recognize the legal and ethical challenges of AI in telemedicine and clinical practice, including liability, informed consent, and privacy.
  • Analyze ethical dilemmas and regulatory frameworks governing AI-driven therapeutic tools (e.g., chatbots) and evaluate the balance between AI recommendations and human clinical judgment.

    Accreditation & Credit Information
    Accreditation Statement  
    The Massachusetts Medical Society is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

    AMA Credit Designation Statement 
    The Massachusetts Medical Society designates this enduring material for a maximum of 0.75 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

    National Commission on Certification of Physicians Assistant (NCCPA)
    Physician Assistants may claim a maximum of 0.75 Category 1 credits for completing this activity. NCCPA accepts AMA PRA Category 1 Credit™ from organizations accredited by ACCME or a recognized state medical society.

    Exam/Assessment: A score of 70% or higher is required to receive AMA PRA Category 1 Credit(s)™.  

    Course Fees:
    Massachusetts Medical Society (MMS) Physician Member: $30.00
    MMS Resident/Student Member: FREE
    Non-Member Physician: $67.50
    Non-Members Resident/Student: $15.00
    Allied Health Professional/Other: $24.00

    Activity Term:
    Original Release Date: May 4, 2026
    Review Date(s): N/A 
    Termination Date: May 4, 2029

    Format and Estimated Time to Complete:  Video recording / 45 minutes

    System Requirements
    Desktops/Laptops
    Windows 10
    Mac OSX 10.6 higher

    Most modern browsers including
    IE 11+
    Firefox 18.0+
    Chrome latest version
    Safari 12+

    Mobile/Tablet
    iOS devices beginning with OS version 10 or higher (includes, iPhone, iPad and iTouch devices)

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    Contact Us
    Contact us at nejmcust@mms.org  or (800) 843-6356. Massachusetts Medical Society, 860 Winter Street, Waltham, MA 02451.


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