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Trustworthy AI and Human Oversight

September 18 13:30 14:30 CEST

This webinar is designed to better understand and critically engage with artificial intelligence in clinical practice. It will feature two focused presentations addressing key challenges in the field: bias and explainability in AI, and the integration of AI-supported automation while preserving the clinician’s central role. The session aims to provide practical insights into how AI systems are developed, where risks may arise, and how clinicians can assess their reliability, transparency, and clinical value.

Aligned with the broader mission to promote safe and responsible AI adoption, the webinar will encourage participants to move beyond passive use toward informed evaluation and active engagement. The programme includes 20 minutes of interactive discussion, offering attendees the opportunity to reflect on real-world implications, share experiences, and discuss strategies to maintain clinical leadership in an increasingly AI-supported environment.

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Learning Objectives

  • To critically examine the challenges and risks associated with AI. 
  • To understand the ethical and legal frameworks governing AI in nuclear medicine. 
  • To learn how to address ethical and legal issues when implementing AI in clinical practice.

Target Audience

  •  Nuclear medicine physicians, medical physicists, technologies and researchers

Faculty

Margarita Kirienko

Moderator

Luca Filippi

Speaker

Kuangyu Shi

Speaker

Event Overview

ESMIT

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