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Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study

BACKGROUND: Techniques utilizing artificial intelligence (AI) are rapidly growing in medical research and development, especially in the operating room. However, the application of AI in the operating room has been limited to small tasks or software, such as clinical decision systems. It still large...

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Autores principales: Park, Soo Jin, Lee, Eun Ji, Kim, Se Ik, Kong, Seong-Ho, Jeong, Chang Wook, Kim, Hee Seung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260656/
https://www.ncbi.nlm.nih.gov/pubmed/32412421
http://dx.doi.org/10.2196/17647
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author Park, Soo Jin
Lee, Eun Ji
Kim, Se Ik
Kong, Seong-Ho
Jeong, Chang Wook
Kim, Hee Seung
author_facet Park, Soo Jin
Lee, Eun Ji
Kim, Se Ik
Kong, Seong-Ho
Jeong, Chang Wook
Kim, Hee Seung
author_sort Park, Soo Jin
collection PubMed
description BACKGROUND: Techniques utilizing artificial intelligence (AI) are rapidly growing in medical research and development, especially in the operating room. However, the application of AI in the operating room has been limited to small tasks or software, such as clinical decision systems. It still largely depends on human resources and technology involving the surgeons’ hands. Therefore, we conceptualized AI-based solo surgery (AISS) defined as laparoscopic surgery conducted by only one surgeon with support from an AI-based surgical assistant system, and we performed an electronic survey on the clinical desire for such a system. OBJECTIVE: This study aimed to evaluate the experiences of surgeons who have performed laparoscopic surgery, the limitations of conventional laparoscopic surgical systems, and the desire for an AI-based surgical assistant system for AISS. METHODS: We performed an online survey for gynecologists, urologists, and general surgeons from June to August 2017. The questionnaire consisted of six items about experience, two about limitations, and five about the clinical desire for an AI-based surgical assistant system for AISS. RESULTS: A total of 508 surgeons who have performed laparoscopic surgery responded to the survey. Most of the surgeons needed two or more assistants during laparoscopic surgery, and the rate was higher among gynecologists (251/278, 90.3%) than among general surgeons (123/173, 71.1%) and urologists (35/57, 61.4%). The majority of responders answered that the skillfulness of surgical assistants was “very important” or “important.” The most uncomfortable aspect of laparoscopic surgery was unskilled movement of the camera (431/508, 84.8%) and instruments (303/508, 59.6%). About 40% (199/508, 39.1%) of responders answered that the AI-based surgical assistant system could substitute 41%-60% of the current workforce, and 83.3% (423/508) showed willingness to buy the system. Furthermore, the most reasonable price was US $30,000-50,000. CONCLUSIONS: Surgeons who perform laparoscopic surgery may feel discomfort with the conventional laparoscopic surgical system in terms of assistant skillfulness, and they may think that the skillfulness of surgical assistants is essential. They desire to alleviate present inconveniences with the conventional laparoscopic surgical system and to perform a safe and comfortable operation by using an AI-based surgical assistant system for AISS.
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spelling pubmed-72606562020-08-06 Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study Park, Soo Jin Lee, Eun Ji Kim, Se Ik Kong, Seong-Ho Jeong, Chang Wook Kim, Hee Seung JMIR Med Inform Original Paper BACKGROUND: Techniques utilizing artificial intelligence (AI) are rapidly growing in medical research and development, especially in the operating room. However, the application of AI in the operating room has been limited to small tasks or software, such as clinical decision systems. It still largely depends on human resources and technology involving the surgeons’ hands. Therefore, we conceptualized AI-based solo surgery (AISS) defined as laparoscopic surgery conducted by only one surgeon with support from an AI-based surgical assistant system, and we performed an electronic survey on the clinical desire for such a system. OBJECTIVE: This study aimed to evaluate the experiences of surgeons who have performed laparoscopic surgery, the limitations of conventional laparoscopic surgical systems, and the desire for an AI-based surgical assistant system for AISS. METHODS: We performed an online survey for gynecologists, urologists, and general surgeons from June to August 2017. The questionnaire consisted of six items about experience, two about limitations, and five about the clinical desire for an AI-based surgical assistant system for AISS. RESULTS: A total of 508 surgeons who have performed laparoscopic surgery responded to the survey. Most of the surgeons needed two or more assistants during laparoscopic surgery, and the rate was higher among gynecologists (251/278, 90.3%) than among general surgeons (123/173, 71.1%) and urologists (35/57, 61.4%). The majority of responders answered that the skillfulness of surgical assistants was “very important” or “important.” The most uncomfortable aspect of laparoscopic surgery was unskilled movement of the camera (431/508, 84.8%) and instruments (303/508, 59.6%). About 40% (199/508, 39.1%) of responders answered that the AI-based surgical assistant system could substitute 41%-60% of the current workforce, and 83.3% (423/508) showed willingness to buy the system. Furthermore, the most reasonable price was US $30,000-50,000. CONCLUSIONS: Surgeons who perform laparoscopic surgery may feel discomfort with the conventional laparoscopic surgical system in terms of assistant skillfulness, and they may think that the skillfulness of surgical assistants is essential. They desire to alleviate present inconveniences with the conventional laparoscopic surgical system and to perform a safe and comfortable operation by using an AI-based surgical assistant system for AISS. JMIR Publications 2020-05-15 /pmc/articles/PMC7260656/ /pubmed/32412421 http://dx.doi.org/10.2196/17647 Text en ©Soo Jin Park, Eun Ji Lee, Se Ik Kim, Seong-Ho Kong, Chang Wook Jeong, Hee Seung Kim. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 15.05.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Park, Soo Jin
Lee, Eun Ji
Kim, Se Ik
Kong, Seong-Ho
Jeong, Chang Wook
Kim, Hee Seung
Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study
title Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study
title_full Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study
title_fullStr Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study
title_full_unstemmed Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study
title_short Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study
title_sort clinical desire for an artificial intelligence–based surgical assistant system: electronic survey–based study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260656/
https://www.ncbi.nlm.nih.gov/pubmed/32412421
http://dx.doi.org/10.2196/17647
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