Related Experiment Video
Updated: Jun 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Ethical and Regulatory Perspectives on Generative Artificial Intelligence in Pathology
Brian R Jackson1, Hooman H Rashidi2, Jochen K Lennerz3
1From the Department of Pathology, University of Utah, Salt Lake City (Jackson).
Context.—:
Technology companies and research groups are increasingly exploring applications of generative artificial intelligence (GenAI) in pathology and laboratory medicine. Although GenAI holds considerable promise, it also introduces novel risks for patients, communities, professionals, and the scientific process.
Objective.—:
To summarize the current frameworks for the ethical development and management of GenAI within health care settings.
Data Sources.—:
The analysis draws from scientific journals, organizational websites, and recent guidelines on artificial intelligence ethics and regulation.
Conclusions.—:
The literature on the ethical management of artificial intelligence in medicine is extensive but is still in its nascent stages because of the evolving nature of the technology. Effective and ethical integration of GenAI requires robust processes and shared accountability among technology vendors, health care organizations, regulatory bodies, medical professionals, and professional societies. As the technology continues to develop, a multifaceted ecosystem of safety mechanisms and ethical oversight is crucial to maximize benefits and mitigate risks.
More Related Videos
Related Concept Videos
What is Genetic Engineering?
Non-equilibrium in the Cell
Ethics and Bioethics
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Human Genetics
The complex relationship between genetics and psychology is observable through common biological components such...
Gene Therapy

