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Artificial Intelligence in Health EI and AI among healthcare professionals

algorithmic biases, may further complicate the adoption Funding
of AI technologies. In addition, the subjectivity and
context-sensitivity of EI make it challenging to measure None.
the effectiveness of AI-based training. To address these Conflict of interest
limitations, further research and the development of
protocols that facilitate the balanced integration of AI and The authors declare no conflict of interest.
EI across diverse healthcare settings are essential.
Author contributions
6. Future directions and research Conceptualization: All authors
Further investigation is needed to fully understand the Writing – original draft: Nadia Hachoumi
clinical potential of integrating EI with AI, particularly Writing – review & editing: All authors
in relation to patient outcomes and the well-being of
healthcare professionals. Longitudinal studies could Ethics approval and consent to participate
provide valuable insights into how this integration evolves Not applicable.
over time and its impact on the performance of healthcare
professionals and the quality of patient care. Consent for publication
The integration of EI and AI also holds valuable Not applicable.
potential for guiding other aspects of healthcare, such as
team organization and ethical decision-making. A deeper Availability of data
understanding of EI and AI in the context of leadership Not applicable.
development and clinical ethics will be essential for the
development of competent, well-rounded healthcare References
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healthcare institutions can foster a more competent and Jamshidi M. Toward artificial emotional intelligence for
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7. Conclusion doi: 10.1109/TCSS.2019.2922593

Integrating EI with AI in healthcare education supports 3. Sharma V, Kumar H. Emotional intelligence in the era of
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and improving patient outcomes. Longitudinal studies doi: 10.1016/j.jmir.2023.02.014
are needed to thoroughly assess the overall impact of 6. Karimi L, Leggat SG, Bartram T, Afshari L, Sarkeshik S,
this innovation on PD and patient care. In turn, this Verulava T. Emotional intelligence: Predictor of employees
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psychologically resilient. doi: 10.1186/s40359-021-00593-8

Acknowledgments 7. Mishra S. The Impact of AI on Improving the Efficiency and
Accuracy of Managerial Decisions; 2024. Available from:
None. https://www.researchgate.net/publication/382850204-the-

Volume 2 Issue 3 (2025) 159 doi: 10.36922/AIH025080011