Evidence map›Paper›PMID 32412421›Full record

ArticleJMIR medical informatics2020

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

Soo Jin Park, Eun Ji Lee, Se Ik Kim, Seong-Ho Kong, Chang Wook Jeong, Hee Seung Kim

Open access · goldAbstract read
In one paragraph

Article in JMIR medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Soo Jin ParkDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-7382-230X
Eun Ji LeeDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-6464-8955
Se Ik KimDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-9790-6735
Seong-Ho KongDepartment of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-3929-796X
Chang Wook JeongDepartment of Urology, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-2200-5019
Hee Seung KimDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-6876-8671
Seoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTechniques 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.

objectiveThis 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.

methodsWe 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.

resultsA 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.

conclusionsSurgeons 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.

Indexed as

artificial intelligencelaparoscopic surgerysolo surgery

Identifiers

PMID32412421
PMCPMC7260656
OpenAlexW3011737866

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.