Masoudi, Ali, Omidi, Amirhossein, Shams, Seyedeh Elham, Yeganegi, Maryam, Danaei, Mahsa, Shiri, Amirmasoud, Aghasipour, Maryam, Aghili, Kazem, Neamatzadeh, Hossein (2024). Applications of Artificial Intelligence Chatbots in Congenital Diplopodia: A Real-World Perspective on a Rare Case of Duplicated Lower Limb. Shahid Sadoughi University of Medical Sciences- Journal Management System, 7(1), 7-15. doi: 10.18502/wjpn.v7i1.17323
Ali Masoudi; Amirhossein Omidi; Seyedeh Elham Shams; Maryam Yeganegi; Mahsa Danaei; Amirmasoud Shiri; Maryam Aghasipour; Kazem Aghili; Hossein Neamatzadeh. "Applications of Artificial Intelligence Chatbots in Congenital Diplopodia: A Real-World Perspective on a Rare Case of Duplicated Lower Limb". Shahid Sadoughi University of Medical Sciences- Journal Management System, 7, 1, 2024, 7-15. doi: 10.18502/wjpn.v7i1.17323
Masoudi, Ali, Omidi, Amirhossein, Shams, Seyedeh Elham, Yeganegi, Maryam, Danaei, Mahsa, Shiri, Amirmasoud, Aghasipour, Maryam, Aghili, Kazem, Neamatzadeh, Hossein (2024). 'Applications of Artificial Intelligence Chatbots in Congenital Diplopodia: A Real-World Perspective on a Rare Case of Duplicated Lower Limb', Shahid Sadoughi University of Medical Sciences- Journal Management System, 7(1), pp. 7-15. doi: 10.18502/wjpn.v7i1.17323
Masoudi, Ali, Omidi, Amirhossein, Shams, Seyedeh Elham, Yeganegi, Maryam, Danaei, Mahsa, Shiri, Amirmasoud, Aghasipour, Maryam, Aghili, Kazem, Neamatzadeh, Hossein Applications of Artificial Intelligence Chatbots in Congenital Diplopodia: A Real-World Perspective on a Rare Case of Duplicated Lower Limb. Shahid Sadoughi University of Medical Sciences- Journal Management System, 2024; 7(1): 7-15. doi: 10.18502/wjpn.v7i1.17323

Applications of Artificial Intelligence Chatbots in Congenital Diplopodia: A Real-World Perspective on a Rare Case of Duplicated Lower Limb

Journal of Integrated Maternal and Pediatric Care
Article 3, Volume 7, Issue 1, December 2024, Pages 7-15    PDF (498.12 K)
Document Type: Original Article
DOI: 10.18502/wjpn.v7i1.17323
Authors
Ali Masoudi1; Amirhossein Omidi1; Seyedeh Elham Shams* 2; Maryam Yeganegi3; Mahsa Danaei4; Amirmasoud Shiri5; Maryam Aghasipour6; Kazem Aghili7; Hossein Neamatzadeh8
1Student Research Committee, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
2Department of Pediatrics, Hamadan University of Medical Sciences, Hamadan, Iran
3Department of Obstetrics and Gynecology, Iranshahr University of Medical Sciences, Iranshahr, Iran
4Department of Obstetrics and Gynecology, Iran University of Medical Sciences, Tehran, Iran
5Student Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
6Department of Cancer Biology, College of Medicine, University of Cincinnati, Ohio, USA
7Department of Radiology, Shahid Rahnamoun Hospital, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
8Mother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Abstract
Background: This study examines the effectiveness of AI chatbot technology in assisting patients with congenital diplopia, focusing on a case study of a 16-month-old boy with duplicated lower limbs.
Methods: We assessed the performance of two AI chatbots—Sider Fusion AI and Perplexity AI—by analyzing their discharge summaries against a previously published clinical scenario. An orthopedic specialist, geneticist, and neonatologist evaluated the summaries for competence, accuracy, relevance, informativeness, support capabilities, and overall communication effectiveness.
Results: Both chatbots produced organized summaries that accurately reflected the diagnosis and surgical procedure outlined by Dr. Kitta. However, Sider Fusion AI surpassed Perplexity AI in organization and detail, offering structured summaries with clear headings and bullet points. It included comprehensive information on patient care, dietary advice, genetic testing, family support, follow-up instructions, pain management, and Ankle-Foot Orthosis (AFO) guidelines. In contrast, Perplexity AI's summary, while accurate, was less specific and clear, conflating care instructions with vague mobility information.
Conclusion: The findings suggest that while AI chatbots can aid in clinical documentation, their effectiveness varies significantly, with Sider Fusion AI providing a more structured and practical resource for families and practitioners dealing with congenital orthopedic disorders.
Keywords
Congenital diplopodia; Artificial intelligence; ChatBot; Duplicated lower limb
References
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