Virtual reality operating room with AI guidance: design and validation of a fire scenario.
Artificial intelligence
Medical training
OR fire
Validation
Virtual reality
Journal
Surgical endoscopy
ISSN: 1432-2218
Titre abrégé: Surg Endosc
Pays: Germany
ID NLM: 8806653
Informations de publication
Date de publication:
02 2021
02 2021
Historique:
received:
08
11
2019
accepted:
11
02
2020
pubmed:
20
2
2020
medline:
29
6
2021
entrez:
20
2
2020
Statut:
ppublish
Résumé
Operating room (OR) fires are uncommon but disastrous events. Inappropriate handling of OR fires can result in injuries, even death. Aiming to simulate OR fire emergencies and effectively train clinicians to react appropriately, we have developed an artificial intelligence (AI)-based OR fire virtual trainer based on the principle of the "fire triangle" and SAGES FUSE curriculum. The simulator can predict the user's actions in the virtual OR and provide them with timely feedback to assist with training. We conducted a study investigating the validity of the AI-assisted OR fire trainer at the 2019 SAGES Learning Center. Fifty-three participants with varying medical experience were voluntarily recruited to participate in our Institutional Review Board approved study. All participants were asked to contain a fire within the virtual OR. Participants were then asked to fill out a 7-point Likert questionnaire consisting of ten questions regarding the face validation of the AI-assisted OR fire simulator. Shapiro-Wilk tests were conducted to test normality of the scores for each trial. A Friedman's ANOVA with post hoc tests was used to evaluate the effect of multiple trials on performance. On a 7-point scale, eight of the ten questions were rated a mean of 6 or greater (72.73%), especially those relating to the usefulness of the simulator for OR fire-containing training. 79.25% of the participants rated the degree of usefulness of AI guidance over 6 out of 7. The performance of individuals improved significantly over the five trials, χ The AI-guided OR fire trainer offers the potential to assess OR personnel and teach the proper response to an iatrogenic fire scenario in a safe, repeatable, immersive environment.
Sections du résumé
BACKGROUND
Operating room (OR) fires are uncommon but disastrous events. Inappropriate handling of OR fires can result in injuries, even death. Aiming to simulate OR fire emergencies and effectively train clinicians to react appropriately, we have developed an artificial intelligence (AI)-based OR fire virtual trainer based on the principle of the "fire triangle" and SAGES FUSE curriculum. The simulator can predict the user's actions in the virtual OR and provide them with timely feedback to assist with training. We conducted a study investigating the validity of the AI-assisted OR fire trainer at the 2019 SAGES Learning Center.
METHODS
Fifty-three participants with varying medical experience were voluntarily recruited to participate in our Institutional Review Board approved study. All participants were asked to contain a fire within the virtual OR. Participants were then asked to fill out a 7-point Likert questionnaire consisting of ten questions regarding the face validation of the AI-assisted OR fire simulator. Shapiro-Wilk tests were conducted to test normality of the scores for each trial. A Friedman's ANOVA with post hoc tests was used to evaluate the effect of multiple trials on performance.
RESULTS
On a 7-point scale, eight of the ten questions were rated a mean of 6 or greater (72.73%), especially those relating to the usefulness of the simulator for OR fire-containing training. 79.25% of the participants rated the degree of usefulness of AI guidance over 6 out of 7. The performance of individuals improved significantly over the five trials, χ
CONCLUSIONS
The AI-guided OR fire trainer offers the potential to assess OR personnel and teach the proper response to an iatrogenic fire scenario in a safe, repeatable, immersive environment.
Identifiants
pubmed: 32072293
doi: 10.1007/s00464-020-07447-1
pii: 10.1007/s00464-020-07447-1
pmc: PMC7431365
mid: NIHMS1563489
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
779-786Subventions
Organisme : NIBIB NIH HHS
ID : R01 EB010037
Pays : United States
Organisme : NIH HHS
ID : R44 OD018334
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB014305
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB009362
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL119248
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB005807
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA197491
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB025241
Pays : United States
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