04-Apr-2024
Artificial Intelligence and Machine Learning in Clinical Data Management: Opportunities and Ethical Considerations
Summary
Artificial Intelligence (AI) and Machine Learning (ML) promise to revolutionise how clinical data is collected, analysed, and utilised, offering unprecedented opportunities for enhancing trial efficiency and patient outcomes. However, as with any significant technological advancement, the adoption of AI and ML in this sensitive domain brings forward a slew of ethical considerations that must be addressed to harness their potential responsibly.- Author Company: PharmiWeb.Jobs
- Author Name: Lucy Walters
- Author Email: Lucy.Walters@pharmiweb.com
- Author Website: https://www.pharmiweb.jobs/
Editor: Lucy Walters
Last Updated: 05-Apr-2024
Artificial Intelligence (AI) and Machine Learning (ML) promise to revolutionise how clinical data is collected, analysed, and utilised, offering unprecedented opportunities for enhancing trial efficiency and patient outcomes.
However, as with any significant technological advancement, the adoption of AI and ML in this sensitive domain brings forward a slew of ethical considerations that must be addressed to harness their potential responsibly.
In this article, we explore key opportunities for AI and ML in clinical data management and some of the key ethical considerations that cannot be ignored.
