Page 293 - EJMO-9-2

Eurasian Journal of Medicine
and Oncology

LETTER TO EDITOR
Comparative analysis of artificial intelligence

chatbots in health care: Managing diabetic
ketoacidosis during the COVID-19 era

Amirhossein Shahbazi 1 , Amirmasoud Shiri 2 , Ali Masoudi 3 ,
Mohammad Bahrami 2 , Amirhossein Rahmani 4 , Mahmood Noorishadkam 5 ,
Hossein Neamatzadeh *
5
1 Student Research Committee, School of Medicine, Ilam University of Medical Sciences, Ilam, Ilam
Province, Iran
2 Student Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz,
Fars Province, Iran
3 Student Research Committee, School of Medicine, Shahid Sadoughi University of Medical
Sciences, Yazd, Yazd Province, Iran
4 Department of Surgery, School of Medicine, Iranshahr University of Medical Sciences, Iranshahr,
Sistan and Baluchestan Province, Iran
5 Mother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences,
Yazd, Yazd Province, Iran

Dear Editor,
The coronavirus disease 2019 (COVID-19) pandemic has prompted a significant
transformation in health-care delivery, underscoring the necessity for innovative
*Corresponding author: solutions to tackle unprecedented challenges. Among these innovations, artificial
1,2
Hossein Neamatzadeh
(neamatzadehh@gmail.com) intelligence (AI) chatbots have emerged as vital tools, offering timely information and
support to patients dealing with complex health issues. This editorial examines the
3,4
Citation: Shahbazi A, Shiri A,
Masoudi A, et al. Comparative effectiveness of AI chatbots in generating discharge summaries for diabetic ketoacidosis
analysis of artificial intelligence (DKA) management, drawing insights from a comparative analysis of two leading
Chatbots in healthcare: Managing
diabetic ketoacidosis during the chatbots: Sider Fusion AI Bot and Perplexity AI.
COVID-19 era. Eurasian J Med DKA is a serious diabetes complication that requires meticulous management and
Oncol. 2025;9(2):285-286.
doi: 10.36922/ejmo.5974 clear post-discharge instructions to ensure patient safety and recovery. The integration
of AI chatbots into this process can enhance patient engagement and improve health
Received: November 15, 2024
outcomes. This study evaluates discharge summaries generated by Sider Fusion AI Bot
Accepted: January 14, 2025 and Perplexity AI to identify their strengths and limitations in real-world applications.
Published online: January 22, Our evaluation is based on a case scenario from a 2021 Clinical Case Reports article
2025 detailing a patient with DKA resulting from COVID-19 and a recent diagnosis of type 1
5
Copyright: © 2025 Author(s). diabetes. A panel of two diabetologists and an endocrinologist assessed the chatbots’
This is an Open-Access article responses for competency, accuracy, relevance, informativeness, support capabilities,
distributed under the terms of the
Creative Commons Attribution and overall communication skills. The goal was to explore the current capabilities of AI
License, permitting distribution, chatbots and their potential to assist health-care professionals and patients, especially in
and reproduction in any medium, the context of COVID-19.
provided the original work is
properly cited. Both chatbots effectively captured key patient demographics and clinical conditions,
Publisher’s Note: AccScience including age, gender, and diagnoses of DKA and COVID-19 pneumonia. This consistency
Publishing remains neutral with highlights the role of AI in reliably documenting essential patient information. However,
regard to jurisdictional claims in
published maps and institutional their structural and detail differences have significant implications for patient care. The
affiliations Sider Fusion AI Bot provided a comprehensive and organized discharge summary,

Volume 9 Issue 2 (2025) 285 doi: 10.36922/ejmo.5974