In hospitals, clinics, and research centers around the world, artificial intelligence (AI) has shifted from a distant concept to a daily presence. With over 1,000 FDA-approved clinical applications and an expanding array of digital health tools, AI has the potential to transform medicine (1, 2). Many healthcare professionals are now incorporating AI into their daily routines, leveraging its capabilities for automating clinical documentation, facilitating drug discovery, and analyzing diagnostic imaging (2-4). Other practitioners remain skeptical, citing concerns about error, lack of oversight, and the potential for bias within AI (5, 6). These differing perspectives on AI across medical professionals raise valuable debates about where AI can have real benefits within healthcare and how to ensure it is implemented safely.
In 2024, approximately 66% of surveyed physicians reported incorporating AI tools into their clinical practices—a striking 78% increase from 2023 (6). This rapid uptake is notable in comparison to previously introduced technologies (6, 7). For physicians, the most common applications of AI include administrative tasks and clinical documentation, as well as patient-facing resource development and translation services (6).
Interestingly, a significant proportion of non-user physicians indicated that they plan to adopt AI tools in the near future, with around 25% intending to do so within the next year (6). This trend is echoed among other medical professionals, including nurses and dentists, who also recognize the potential of AI, despite expressing hopes for additional training and input during the integration process (8, 9).
On an institutional level, similar patterns of AI adoption have emerged, with a tenfold increase in the implementation of domain-specific AI tools since 2023 (7). In fact, compared to around 9% of companies in the broader economy, significantly larger proportions of healthcare systems (27%) and outpatient providers (18%) reported AI adoption in 2025 (7). From the perspective of proponents of AI use within the medical field, increased use can streamline administrative tasks, enhance patient volume predictions, and optimize workflows (7, 10).
These trends reflect not only the ability of medical professionals to overcome hurdles related to AI integration but also their growing confidence in the technology. Recent data indicates that around 68% of physicians now believe that AI can improve patient care (6). Both physicians and nurses generally agree that alleviating administrative burdens represents the most significant opportunity for AI in clinical settings, with some interest in enhancing workflow efficiency as well (6, 8). Although experimental AI tools—ranging from diagnosing diseases to triaging patients—continue to gain momentum in research journals, very few medical professionals report these complex functionalities as motivators for current or future AI use (6, 8, 11).
Despite the potential benefits of AI use, many medical professionals continue to maintain caution, particularly due to concerns regarding accuracy, privacy, and training of AI tools and platforms (12). Although many clinical AI tools demonstrate accuracy, they fail to consistently outperform clinician judgment, especially across diverse patient populations (11, 13). This variability can lead to differing impacts on patient outcomes, which raises concerns about reliance on AI for decision-making (11-13).
For now, even when highly accurate AI models are available in certain fields, medical professionals tend to prefer traditional, clinician-led approaches for diagnostics and treatment (11). Additionally, given the rapid pace of AI adoption, healthcare institutions have often struggled to keep up with data and onboarding practices (14). As a result, many medical professionals cite privacy and training as significant concerns that must be addressed before wider clinical AI application (6, 8, 12).
Overall, many medical professionals maintain a perspective of cautious optimism when it comes to AI integration. In response to the increased use of AI in the clinical setting, around 35% of physicians reported greater excitement than concern, representing a 5% increase since 2023 (6). However, the proportion of physicians with greater concern than excitement has also increased at a similar rate (6). Although evidence demonstrates that AI tools can perform helpful tasks with precision and safety, significant strides towards improved accuracy, privacy, and training must be taken to ensure their successful integration into a broader range of clinical applications (6, 8, 9, 12).
References
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2: Nass, D. 2025. Digital Health Trends 2024: Five Takeaways About Provider-Related Solutions. IQVIA Institute for Human Data Science. url: https://www.iqvia.com/blogs/2025/01/institute-blog-digital-health-trends-2024
3: North, M. 2025. 7 ways AI is transforming healthcare. World Economic Forum. url: https://www.weforum.org/stories/2025/08/ai-transforming-global-health/
4: Ellis, L. 2025. The Benefits of the Latest AI Technologies for Patients and Clinicians. Harvard Medical School Insights. url: https://learn.hms.harvard.edu/insights/all-insights/benefits-latest-ai-technologies-patients-and-clinicians
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6: American Medical Association. 2025. Physician sentiments around the use of AI in healthcare: motivations, opportunities, risks, and use cases. AMA Augmented Intelligence Research. url: https://www.ama-assn.org/system/files/physician-ai-sentiment-report.pdf
7: Jain, S. 2025. AI Adoption In Healthcare Is Surging: What A New Report Reveals. Forbes. url: https://www.forbes.com/sites/sachinjain/2025/10/21/ai-adoption-in-healthcare-is-surging-what-a-new-report-reveals/
8: Joo, J.Y., Liu, M. & Ho, M.H. 2025. Nurses’ perceptions of artificial intelligence adoption in healthcare: A qualitative systematic review. Nurse Education in Practice, vol. 88: 104542. doi: 10.1016/j.nepr.2025.104542
9: Dentaly.org. 2025. AI Dentistry Survey: Perceptions, Insights, and Possibilities. Dentaly.org. url: https://www.dentaly.org/us/research/ai-in-dentistry/
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14: Murdoch, B. 2021. Privacy and artificial intelligence: challenges for protecting health information in a new era. BMC Medical Ethics, vol. 22: 122. doi: 10.1186/s12910-021-00687-3