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Navigating Ethical Challenges in AI-Powered Pathology
This episode is a webinar recording. It delves into the complex ethical considerations of incorporating artificial intelligence (AI) in pathology.
Dr. Zuraw begins by exploring the fundamentals of ethics and moves on to discuss the impact of AI in pathology, focusing on:
- ethical dilemmas,
- data diversity issues,
- biases, and
- the importance of maintaining professional and societal ethical standards in the wake of AI integration.
The session touches upon the ethical guidelines and regulatory frameworks guiding ethical decision-making in healthcare, alongside the role of regulatory agencies like the FDA.
It also highlights the significance of data diversity and mitigation strategies to address potential ethical pitfalls in AI utilization.
The webinar emphasizes the constant balance between advancing technology and ethical responsibility, underlining the need for transparency, governance, and accountability in deploying AI tools in pathology.
00:00 Introduction to Ethics in AI-Powered Pathology 00:30 Exploring the Ethical Dilemmas in Healthcare 00:36 Webinar Overview and Digital Pathology Insights 01:05 Defining Ethics and Its Importance in AI Pathology 02:05 Interactive Webinar Engagement and Audience Participation 03:25 Deep Dive into Ethics: Definitions and Applications 09:31 Ethical Considerations in Biomedical Research 10:34 Navigating Ethical Dilemmas: A Practical Example 13:57 Understanding Ethical Principles in Decision Making 17:14 AI Bias and Representation in Pathology 20:52 Frameworks and Guidelines for Ethical Oversight 25:02 AI Applications in Pathology: Ethical Perspectives 27:21 Exploring AI in Research and Its Capabilities 29:22 AI's Role in Medical Imaging and Diagnostics 33:11 Ethical Considerations and AI in Pathology 34:04 Addressing AI Challenges: Bias, Interpretability, and Security 44:26 AI as a Medical Device: Regulatory Perspectives and Future Directions 49:16 Concluding Thoughts and Audience Engagement
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