Press and Media
View the latest AANEM Achievement Award winners, the American Neuromuscular Foundation (ANF) Abstract Award winners, and the latest AANEM news articles on News Express.
Frequently Asked Questions
Q: When will be content of abstracts be viewable, as opposed to just the titles?
A: The abstract content will be available at the annual meeting during the Poster Hall hours. We do not provide abstract presenter information or slides ahead of time. All available information can be found in the AANEM Abstract Guide online when it becomes available.
Q: How do I reach out to abstract or session presenters for an interview?
A: We do not offer member contact information. To connect with abstract or session presenters, review the AANEM Annual Meeting Program when available. Find the topics of interest and connect with the presenter after their lecture or during their abstract poster session time. Currently there is no interview option for virtual attendees.
Q: When can I share information?
A: The embargo on the abstracts themselves is lifted when they have been published in Muscle & Nerve and online in the AANEM Abstract Guide. However, the additional information beyond what is in the abstract itself is still embargoed.
AANEM requires information that goes beyond that which is contained within the abstract, e.g., the release of data not included in the abstract, discussion of the abstract done as part of a scientific presentation, etc. to be embargoed until the start of the annual meeting. Please see the Abstract Embargo Policy.
Q: Will the Abstract Award Reception feature the best posters?
A: The Abstract Award Reception is a social hour in honor of the abstract award winners where all authors, including award winners, will be available to discuss research.
Q: Original research is ONLY presented as posters, correct?
A: Yes - the research is presented in the Poster Hall via abstract posters.
AI-Generated Deepfakes and Physician Identity: What EDX and NM Clinicians Should Know
Advances in artificial intelligence are making it easier to create realistic, but fabricated, images, audio, and video. These “deepfakes” can replicate a physician’s voice, likeness, or clinical presence in ways that may be difficult for patients to distinguish from authentic content.
The AMA recently released an article outlining recommended policy to address AI-generated deepfakes and physician identity. The guidance emphasizes that a physician’s name, image, voice, likeness, or digital replica should not be used in AI-generated or altered content without explicit, informed consent. It also calls for clear labeling of AI-generated content, safeguards against deceptive medical impersonation, and shared responsibility among health systems, vendors, platforms, and advertisers.
For electrodiagnostic (EDX) and neuromuscular (NM) clinicians, this issue is worth watching. EDX and NM care often involve complex diagnoses, specialized testing, and nuanced clinical judgment. If AI-generated content falsely suggests physician endorsement, misrepresents clinical expertise, or creates confusion about procedures such as EMG or nerve conduction studies, it could affect patient understanding and trust.
Key points for members to be aware of include:
Physician identity should be protected: Use of a physician’s likeness, voice, name, or digital replica should require opt-in consent.
AI-generated content should be transparent: Patients should be able to tell when content is synthetic or materially altered.
Deceptive impersonation is a patient safety concern: Misleading content could influence care decisions or promote inaccurate medical information.
Responsibility should not fall solely on clinicians: Institutions, platforms, and vendors should help prevent misuse, support takedown processes, and limit administrative burden.
This remains an emerging policy issue, but awareness is an important first step. AANEM will continue to monitor developments related to AI, physician identity, and patient trust as these technologies evolve.
Read the AMA article: AI-generated deepfakes: Key policy principles and proposed protections