Ethics of AI in Radiology (2025)-M5-CIN0921-2025

Video Transcription

Video Summary

This presentation addressed the ethical and practical challenges of using clinical data for artificial intelligence (AI), emphasizing the evolving legal, ethical, and regulatory frameworks. The speaker stressed the importance of treating clinical data as a public good, advocating for its secondary use to benefit future patients, while underscoring the need for responsible data stewardship. A central proposition was that no single entity owns the data; rather, it should be used for societal benefit, respecting patient privacy.<br /><br />Along with discussing the responsibilities of healthcare professionals, the ethical framework from the Hastings Center report on Learning Healthcare Systems was highlighted. This includes obligations such as continuous learning to improve healthcare quality. The speaker argued against profiting from data sales, emphasizing ethical sharing with third parties, provided privacy is safeguarded and responsible data stewardship is practiced.<br /><br />The presentation also touched on the practicalities and misconceptions around data anonymization and consent, revealing challenges in ensuring patient data privacy due to technological advances. Proposed solutions centered on improving de-identification methods and finding a balanced approach to data sharing that respects both individuals' rights and societal benefits.

Keywords

clinical data

artificial intelligence

ethical challenges

regulatory frameworks

data stewardship

patient privacy

Hastings Center report

data anonymization

responsible data sharing