Page 294 - EJMO-9-2

Eurasian Journal of Medicine and
Oncology
AI chatbots for DKA care in COVID-19 era

emphasizing follow-up care, genetic testing options, and communication and education, we can harness the
educational resources for patients and families. This is full potential of AI in transforming health care for the better.
especially beneficial for those with complex conditions,
such as latent autoimmune diabetes in adults and DKA, Acknowledgments
where understanding health details is vital for effective We thank Dr. Hadi Zohouri for the fruitful discussions and
self-management. The detailed return precautions from feedback.
Sider Fusion empower patients to recognize symptoms
requiring immediate medical attention, potentially leading Conflict of interest
to faster interventions and better outcomes. In contrast, The authors declare they have no competing interests.
Perplexity AI offered a more concise summary, focusing
on essential elements of the hospital course and discharge Author contributions
instructions. While this brevity can help patients seeking
quick references, it risks omitting critical educational Conceptualization: Amirhossein Shahbazi, Amirhossein
content that promotes a deeper understanding of their Rahmani, Amirmasoud Shiri
condition. Although Perplexity’s inclusion of specific Writing – original draft: Hossein Neamatzadeh, Mahmood
medication dosages aids adherence to treatment plans, the Noorishadkam
lack of comprehensive educational resources may leave Writing – review & editing: Amirmasoud Shiri, Ali
some patients feeling unsupported during their transition Masoudi, Mohammad Bahrami
to home care. Further disclosure
The evaluation of these AI-generated summaries
highlights a critical aspect of health care: the need for The authors have utilized AI-assisted language editing for
tailored communication strategies that cater to individual improving the clarity and quality of the text.
patient needs. Patients who are more independent and References
familiar with their conditions may appreciate the clarity
and directness of Perplexity AI’s summary. Conversely, 1. Mirjalili H, Dastgheib SA, Shaker SH, et al. Proportion
those navigating complex diagnoses may significantly and mortality of Iranian diabetes mellitus, chronic kidney
benefit from the in-depth and supportive approach disease, hypertension, and cardiovascular disease patients
with COVID-19: A meta-analysis. J Diabetes Metab Disord.
provided by Sider Fusion AI Bot.
2021;20:905-917.
As health care continues to evolve, the role of AI doi: 10.1007/s40200-021-00768-5
chatbots in patient care is likely to expand. Their ability
to provide accurate and timely information can alleviate 2. Karimi-Zarchi M, Sayad S, Vakili M, et al. A collect of
pressure on health-care professionals and enhance patient recommendations and guidelines for management and
engagement. However, it is essential to recognize that treatment of underlying malignancies during the COVID-19
pandemic. Acta Med Iran. 2023;61:443-448.
the effectiveness of these tools depends on their capacity
to meet diverse patient needs. The comparative analysis doi: 10.18502/acta.v61i8.14900
of discharge summaries generated by Sider Fusion and 3. Kooli C, Al Muftah H. Artificial intelligence in healthcare:
Perplexity AI underscores the importance of developing A comprehensive review of its ethical concerns. Technol
AI systems prioritizing comprehensive education and Sustain. 2022;1:121-131.
support, particularly for patients managing chronic doi: 10.1108/TECHS-12-2021-0029
conditions.
4. Shimada K. The role of artificial intelligence in mental
In conclusion, integrating AI chatbots into health-care health: A review. Sci Insights. 2023;43:1119-1127.
presents an exciting opportunity to improve patient doi: 10.15354/si.23.re820
outcomes and enhance the efficiency of care delivery. As
we navigate the complexities of post-pandemic health care, 5. Ishii K, Suwanai H, Saito T, et al. A case of diabetic
it is imperative to continue evaluating and refining these ketoacidosis in a patient with COVID-19 and newly
technologies to ensure they serve as effective partners in diagnosed type 1 diabetes. Clin Case Rep. 2021;9:e04881.
patient management. By prioritizing patient-centered doi: 10.1002/ccr3.4881

Volume 9 Issue 2 (2025) 286 doi: 10.36922/ejmo.5974