Perceptions, Utilization, and Impact of Artificial Intelligence on Medical Science Liaisons: A Global Cross-Sectional Survey of Medical Affairs Professionals

Introduction Artificial intelligence (AI) is increasingly being adopted in Medical Affairs and has the potential to transform the role of medical science liaisons (MSLs). This study was designed to assess the current state of AI adoption, perceptions, organizational readiness, and potential impact among MSLs through a global survey. Methods A global, cross-sectional survey was conducted, including 367 participants from 48 countries representing diverse roles in Medical Affairs, including medical science liaisons (MSLs), MSL leadership, and executive Medical Affairs leadership, across pharmaceutical, biotechnology, medical device, diagnostic, and other healthcare organizations. The survey was distributed through professional networks, including LinkedIn, Medical Science Liaison Society newsletter subscribers, pharmaceutical industry conferences, and online platforms dedicated to Medical Affairs professionals, using a non-probability convenience sampling approach. Results Overall, 27% of the respondents currently utilize AI tools for key opinion leader (KOL) engagements. The primary applications included literature review (22%), data analysis (20%), and presentation preparation (16%). The most commonly reported benefits were improved efficiency (42%) and better preparation for KOL engagements (18%). However, only one-third of organizations had established policies governing AI use by MSLs, indicating a gap in governance and organizational readiness. Knowledge of AI varied: 41% of the respondents reported being somewhat knowledgeable, and 30% reported not being very knowledgeable. Despite this, 74% of the respondents believed that AI would be impactful or highly impactful in Medical Affairs and the MSL function, and 87% considered it important or very important to learn about AI technology to remain competitive. Conclusion AI adoption among MSLs remains limited, but there is a clear and growing recognition of its potential impact. These findings highlight both the opportunity and the need for improved governance, education, and strategic implementation as AI continues to shape the evolving role of MSLs within Medical Affairs.

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Publication Details

Journal
Cureus
Published
2026-04-16
DOI
https://doi.org/10.7759/cureus.107157
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Perceptions, Utilization, and Impact of Artificial Intelligence on Medical Science Liaisons: A Global Cross-Sectional Survey of Medical Affairs Professionals

S. S. Dyer, Jeff Kraemer, Ellen Shannon
Cureus
Artificial Intelligence in Healthcare and Education
article

Perceptions, Utilization, and Impact of Artificial Intelligence on Medical Science Liaisons: A Global Cross-Sectional Survey of Medical Affairs Professionals

S. S. Dyer, Jeff Kraemer, Ellen Shannon
article en

Abstract

Introduction Artificial intelligence (AI) is increasingly being adopted in Medical Affairs and has the potential to transform the role of medical science liaisons (MSLs). This study was designed to assess the current state of AI adoption, perceptions, organizational readiness, and potential impact among MSLs through a global survey. Methods A global, cross-sectional survey was conducted, including 367 participants from 48 countries representing diverse roles in Medical Affairs, including medical science liaisons (MSLs), MSL leadership, and executive Medical Affairs leadership, across pharmaceutical, biotechnology, medical device, diagnostic, and other healthcare organizations. The survey was distributed through professional networks, including LinkedIn, Medical Science Liaison Society newsletter subscribers, pharmaceutical industry conferences, and online platforms dedicated to Medical Affairs professionals, using a non-probability convenience sampling approach. Results Overall, 27% of the respondents currently utilize AI tools for key opinion leader (KOL) engagements. The primary applications included literature review (22%), data analysis (20%), and presentation preparation (16%). The most commonly reported benefits were improved efficiency (42%) and better preparation for KOL engagements (18%). However, only one-third of organizations had established policies governing AI use by MSLs, indicating a gap in governance and organizational readiness. Knowledge of AI varied: 41% of the respondents reported being somewhat knowledgeable, and 30% reported not being very knowledgeable. Despite this, 74% of the respondents believed that AI would be impactful or highly impactful in Medical Affairs and the MSL function, and 87% considered it important or very important to learn about AI technology to remain competitive. Conclusion AI adoption among MSLs remains limited, but there is a clear and growing recognition of its potential impact. These findings highlight both the opportunity and the need for improved governance, education, and strategic implementation as AI continues to shape the evolving role of MSLs within Medical Affairs.

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Artificial Intelligence in Healthcare and Education
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