Total product lifecycle regulatory considerations and recommendations for generative AI-enabled medical devices

Area of Science:

• Healthcare technology regulation
• Artificial intelligence in medicine
• Medical device development

Background:

• The rapid emergence of generative artificial intelligence (GenAI) presents unique challenges within the healthcare sector.
• Existing regulatory frameworks are often fragmented and ill-equipped to handle the complexities of rapidly evolving AI technologies.
• Ensuring patient safety and device efficacy requires a proactive approach to regulatory compliance.

Purpose of the Study:

• To highlight the need for adapting the Total Product Lifecycle (TPLC) paradigm for GenAI-enabled medical devices.
• To emphasize the importance of proactive engagement with regulatory compliance for all stakeholders.
• To provide recommendations for navigating the evolving regulatory landscape of GenAI in healthcare.

Main Methods:

• Analysis of the current regulatory environment for AI in healthcare.
• Elucidation of the challenges in applying traditional TPLC to non-deterministic software.
• Review of national and international regulatory considerations for GenAI medical devices.

Main Results:

• The current regulatory environment for GenAI in healthcare is fragmented.
• Adapting the TPLC is essential for pre-market evaluation, change control, and post-market monitoring of GenAI devices.
• Proactive stakeholder engagement is necessary to manage risks and ensure safety.

Conclusions:

• A modified TPLC approach is vital for managing GenAI medical device risks.
• Understanding diverse regulations is key for developers, providers, and clinicians.
• Effective risk management ensures improved patient outcomes and stakeholder alignment.