Examining the impact perceptual learning artificial-intelligence-based on the incidence of paresthesia when performing the ultrasound-guided popliteal sciatic block: simulation-based randomized study
Abstract Objective To explore the impact of artificial-intelligence perceptual learning when performing the ultrasound-guided popliteal sciatic block. Methods This simulation-based randomized study enrolled residents who underwent ultrasound-guided sciatic nerve block training at the Department of A...
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BMC
2022-12-01
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Series: | BMC Anesthesiology |
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Online Access: | https://doi.org/10.1186/s12871-022-01937-6 |
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author | Nan Cai Geng Wang Li Xu Yan Zhou Hao Chong Yaoping Zhao Jingxian Wang Wenjia Yan Bo Zhang Nan Liu |
author_facet | Nan Cai Geng Wang Li Xu Yan Zhou Hao Chong Yaoping Zhao Jingxian Wang Wenjia Yan Bo Zhang Nan Liu |
author_sort | Nan Cai |
collection | DOAJ |
description | Abstract Objective To explore the impact of artificial-intelligence perceptual learning when performing the ultrasound-guided popliteal sciatic block. Methods This simulation-based randomized study enrolled residents who underwent ultrasound-guided sciatic nerve block training at the Department of Anesthesiology of Beijing Jishuitan Hospital between January 2022 and February 2022. Residents were randomly divided into a traditional teaching group and an AI teaching group. All residents attended the same nerve block theory courses, while those in the AI teaching group participated in training course using an AI-assisted nerve identification system based on a convolutional neural network instead of traditional training. Results A total of 40 residents were included. The complication rates of paresthesia during puncture in the first month of clinical sciatic nerve block practice after training were significantly lower in the AI teaching group than in the traditional teaching group [11 (4.12%) vs. 36 (14.06%), P = 0.000093]. The rates of paresthesia/pain during injection were significantly lower in the AI teaching group than in the traditional teaching group [6 (2.25%) vs. 17 (6.64%), P = 0.025]. The Assessment Checklist for Ultrasound-Guided Regional Anesthesia (32 ± 3.8 vs. 29.4 ± 3.9, P = 0.001) and nerve block self-rating scores (7.53 ± 1.62 vs. 6.49 ± 1.85, P < 0.001) were significantly higher in the AI teaching group than in the traditional teaching group. There were no significant differences in the remaining indicators. Conclusion The inclusion of an AI-assisted nerve identification system based on convolutional neural network as part of the training program for ultrasound-guided sciatic nerve block via the popliteal approach may reduce the incidence of nerve paresthesia and this might be related to improved perceptual learning. Clinical trial CHiCTR2200055115 , registered on 1/ January /2022. |
first_indexed | 2024-04-12T01:32:11Z |
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institution | Directory Open Access Journal |
issn | 1471-2253 |
language | English |
last_indexed | 2024-04-12T01:32:11Z |
publishDate | 2022-12-01 |
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series | BMC Anesthesiology |
spelling | doaj.art-b8581a3249f1491d81564259abfb82aa2022-12-22T03:53:27ZengBMCBMC Anesthesiology1471-22532022-12-012211910.1186/s12871-022-01937-6Examining the impact perceptual learning artificial-intelligence-based on the incidence of paresthesia when performing the ultrasound-guided popliteal sciatic block: simulation-based randomized studyNan Cai0Geng Wang1Li Xu2Yan Zhou3Hao Chong4Yaoping Zhao5Jingxian Wang6Wenjia Yan7Bo Zhang8Nan Liu9Department of Anesthesiology, Beijing Jishuitan HospitalDepartment of Anesthesiology, Beijing Jishuitan HospitalDepartment of Anesthesiology, Beijing Jishuitan HospitalDepartment of Anesthesiology, Beijing Jishuitan HospitalDepartment of Anesthesiology, Beijing Jishuitan HospitalDepartment of Anesthesiology, Beijing Jishuitan HospitalDepartment of Anesthesiology, Beijing Jishuitan HospitalDepartment of Anesthesiology, Beijing Jishuitan HospitalBeijing AMIT HealthcareBeijing AMIT HealthcareAbstract Objective To explore the impact of artificial-intelligence perceptual learning when performing the ultrasound-guided popliteal sciatic block. Methods This simulation-based randomized study enrolled residents who underwent ultrasound-guided sciatic nerve block training at the Department of Anesthesiology of Beijing Jishuitan Hospital between January 2022 and February 2022. Residents were randomly divided into a traditional teaching group and an AI teaching group. All residents attended the same nerve block theory courses, while those in the AI teaching group participated in training course using an AI-assisted nerve identification system based on a convolutional neural network instead of traditional training. Results A total of 40 residents were included. The complication rates of paresthesia during puncture in the first month of clinical sciatic nerve block practice after training were significantly lower in the AI teaching group than in the traditional teaching group [11 (4.12%) vs. 36 (14.06%), P = 0.000093]. The rates of paresthesia/pain during injection were significantly lower in the AI teaching group than in the traditional teaching group [6 (2.25%) vs. 17 (6.64%), P = 0.025]. The Assessment Checklist for Ultrasound-Guided Regional Anesthesia (32 ± 3.8 vs. 29.4 ± 3.9, P = 0.001) and nerve block self-rating scores (7.53 ± 1.62 vs. 6.49 ± 1.85, P < 0.001) were significantly higher in the AI teaching group than in the traditional teaching group. There were no significant differences in the remaining indicators. Conclusion The inclusion of an AI-assisted nerve identification system based on convolutional neural network as part of the training program for ultrasound-guided sciatic nerve block via the popliteal approach may reduce the incidence of nerve paresthesia and this might be related to improved perceptual learning. Clinical trial CHiCTR2200055115 , registered on 1/ January /2022.https://doi.org/10.1186/s12871-022-01937-6Artificial intelligencePerceptual learningUltrasound guidanceNerve blockSciatic nerve block via the popliteal approachTeaching |
spellingShingle | Nan Cai Geng Wang Li Xu Yan Zhou Hao Chong Yaoping Zhao Jingxian Wang Wenjia Yan Bo Zhang Nan Liu Examining the impact perceptual learning artificial-intelligence-based on the incidence of paresthesia when performing the ultrasound-guided popliteal sciatic block: simulation-based randomized study BMC Anesthesiology Artificial intelligence Perceptual learning Ultrasound guidance Nerve block Sciatic nerve block via the popliteal approach Teaching |
title | Examining the impact perceptual learning artificial-intelligence-based on the incidence of paresthesia when performing the ultrasound-guided popliteal sciatic block: simulation-based randomized study |
title_full | Examining the impact perceptual learning artificial-intelligence-based on the incidence of paresthesia when performing the ultrasound-guided popliteal sciatic block: simulation-based randomized study |
title_fullStr | Examining the impact perceptual learning artificial-intelligence-based on the incidence of paresthesia when performing the ultrasound-guided popliteal sciatic block: simulation-based randomized study |
title_full_unstemmed | Examining the impact perceptual learning artificial-intelligence-based on the incidence of paresthesia when performing the ultrasound-guided popliteal sciatic block: simulation-based randomized study |
title_short | Examining the impact perceptual learning artificial-intelligence-based on the incidence of paresthesia when performing the ultrasound-guided popliteal sciatic block: simulation-based randomized study |
title_sort | examining the impact perceptual learning artificial intelligence based on the incidence of paresthesia when performing the ultrasound guided popliteal sciatic block simulation based randomized study |
topic | Artificial intelligence Perceptual learning Ultrasound guidance Nerve block Sciatic nerve block via the popliteal approach Teaching |
url | https://doi.org/10.1186/s12871-022-01937-6 |
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