Commentary: Patient Perspectives on Artificial Intelligence; What have We Learned and How Should We Move Forward?

Area of Science:

• Healthcare Technology
• Medical Informatics
• Artificial Intelligence in Medicine

Background:

• Artificial intelligence (AI) is increasingly integrated into healthcare, yet public and clinical acceptance varies.
• Significant investment has driven AI development, highlighting diverse stakeholder perspectives.
• Patient perspectives are crucial for tailoring AI to specific populations and clinical needs but are underrepresented in research.

Purpose of the Study:

• To summarize current views on AI in healthcare.
• To provide recommendations for incorporating patient perspectives into AI development and implementation.
• To guide clinicians and Health & MedTech SMEs in patient-centered innovation.

Main Methods:

• This commentary synthesizes expert and patient views on AI in healthcare.
• It reviews the current literature gap regarding patient perspectives in AI implementation science.
• Authors reflect on practical strategies for stakeholder engagement.

Main Results:

• Patient perspectives are currently underrepresented in AI literature and product development.
• There is a need to integrate patient insights throughout the MedTech and eHealthtech product lifecycle.
• Current approaches often overlook the distinct needs of different populations and healthcare systems.

Conclusions:

• Integrating patient perspectives is essential for effective and ethical AI implementation in healthcare.
• Collaboration between patients, clinicians, and industry (SMEs) can drive person-centered AI innovation.
• Recommendations focus on enhancing patient engagement for both product-centric and patient-centric advancements.