Speaker(s):
Myla Deganich, DO, Resident, Geisinger - has nothing to disclose.
Lindsey Burton, MD, Resident, Geisinger - has nothing to disclose.
Moderator(s):
Zachary Hoffer, MD, Staff Member, Geisinger - has nothing to disclose.
Learning Objectives:
At the conclusion of this session, the participant should be able to:
Recognize the key histologic features of giant cell-rich tumors of bone and soft tissue and distinguish neoplastic cells from nonneoplastic osteoclast-like giant cells.
Differentiate common giant cell-rich lesions using clinical location, radiologic findings, morphology, and characteristic immunohistochemical and molecular findings.
Describe the current use, perceived benefits, and major barriers associated with implementing artificial intelligence and machine-learning systems in clinical laboratories.
Explain the recommended approach to adopting an externally developed AI system, including vendor transparency, local verification, intended-use assessment, and ongoing performance monitoring for model drift.
Disclosure of Relevant Financial Relationships with/without Commercial Interests:
The Planning Committee consisting of Zachary Hoffer, MD PhD and Jeffrey Prichard, DO have no identified disclosures.
CE Committee Member/Content Reviewers have nothing to disclose.
Any/All relevant financial relationships have been mitigated.
Content Disclosure:
This presentation/content is HIPAA compliant.
Commercial Support for this Session
None.
- 1.00 AMA PRA Category 1 Credit™
- 1.00 Participation Credit

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