Chao-Ying Kowa, Megan Morecroft, Alan J R Macfarlane, David Burckett-St Laurent, Amit Pawa, Simeon West, Steve Margetts, Nat Haslam, Toby Ashken, Maria Paz Sebastian, Athmaja Thottungal, Jono Womack, Julia Alison Noble, Helen Higham, James S Bowness
{"title":"辅助人工智能对麻醉师区域麻醉超声扫描持续影响的前瞻性随机评估。","authors":"Chao-Ying Kowa, Megan Morecroft, Alan J R Macfarlane, David Burckett-St Laurent, Amit Pawa, Simeon West, Steve Margetts, Nat Haslam, Toby Ashken, Maria Paz Sebastian, Athmaja Thottungal, Jono Womack, Julia Alison Noble, Helen Higham, James S Bowness","doi":"10.1136/bmjsit-2024-000264","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Ultrasound-guided regional anesthesia (UGRA) relies on acquiring and interpreting an appropriate view of sonoanatomy. Artificial intelligence (AI) has the potential to aid this by applying a color overlay to key sonoanatomical structures.The primary aim was to determine whether an AI-generated color overlay was associated with a difference in participants' ability to identify an appropriate block view over a 2-month period after a standardized teaching session (as judged by a blinded assessor). Secondary outcomes included the ability to identify an appropriate block view (unblinded assessor), global rating score and participant confidence scores.</p><p><strong>Design: </strong>Randomized, partially blinded, prospective cross-over study.</p><p><strong>Setting: </strong>Simulation scans on healthy volunteers. Initial assessments on 29 November 2022 and 30 November 2022, with follow-up on 25 January 2023 - 27 January 2023.</p><p><strong>Participants: </strong>57 junior anesthetists undertook initial assessments and 51 (89.47%) returned at 2 months.</p><p><strong>Intervention: </strong>Participants performed ultrasound scans for six peripheral nerve blocks, with AI assistance randomized to half of the blocks. Cross-over assignment was employed for 2 months.</p><p><strong>Main outcome measures: </strong>Blinded experts assessed whether the block view acquired was acceptable (yes/no). Unblinded experts also assessed this parameter and provided a global performance rating (0-100). Participants reported scan confidence (0-100).</p><p><strong>Results: </strong>AI assistance was associated with a higher rate of appropriate block view acquisition in both blinded and unblinded assessments (p=0.02 and <0.01, respectively). Participant confidence and expert rating scores were superior throughout (all p<0.01).</p><p><strong>Conclusions: </strong>Assistive AI was associated with superior ultrasound scanning performance 2 months after formal teaching. It may aid application of sonoanatomical knowledge and skills gained in teaching, to support delivery of UGRA beyond the immediate post-teaching period.</p><p><strong>Trial registration number: </strong>www.clinicaltrials.govNCT05583032.</p>","PeriodicalId":33349,"journal":{"name":"BMJ Surgery Interventions Health Technologies","volume":"6 1","pages":"e000264"},"PeriodicalIF":2.1000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11487881/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prospective randomized evaluation of the sustained impact of assistive artificial intelligence on anesthetists' ultrasound scanning for regional anesthesia.\",\"authors\":\"Chao-Ying Kowa, Megan Morecroft, Alan J R Macfarlane, David Burckett-St Laurent, Amit Pawa, Simeon West, Steve Margetts, Nat Haslam, Toby Ashken, Maria Paz Sebastian, Athmaja Thottungal, Jono Womack, Julia Alison Noble, Helen Higham, James S Bowness\",\"doi\":\"10.1136/bmjsit-2024-000264\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Ultrasound-guided regional anesthesia (UGRA) relies on acquiring and interpreting an appropriate view of sonoanatomy. Artificial intelligence (AI) has the potential to aid this by applying a color overlay to key sonoanatomical structures.The primary aim was to determine whether an AI-generated color overlay was associated with a difference in participants' ability to identify an appropriate block view over a 2-month period after a standardized teaching session (as judged by a blinded assessor). Secondary outcomes included the ability to identify an appropriate block view (unblinded assessor), global rating score and participant confidence scores.</p><p><strong>Design: </strong>Randomized, partially blinded, prospective cross-over study.</p><p><strong>Setting: </strong>Simulation scans on healthy volunteers. Initial assessments on 29 November 2022 and 30 November 2022, with follow-up on 25 January 2023 - 27 January 2023.</p><p><strong>Participants: </strong>57 junior anesthetists undertook initial assessments and 51 (89.47%) returned at 2 months.</p><p><strong>Intervention: </strong>Participants performed ultrasound scans for six peripheral nerve blocks, with AI assistance randomized to half of the blocks. Cross-over assignment was employed for 2 months.</p><p><strong>Main outcome measures: </strong>Blinded experts assessed whether the block view acquired was acceptable (yes/no). Unblinded experts also assessed this parameter and provided a global performance rating (0-100). Participants reported scan confidence (0-100).</p><p><strong>Results: </strong>AI assistance was associated with a higher rate of appropriate block view acquisition in both blinded and unblinded assessments (p=0.02 and <0.01, respectively). Participant confidence and expert rating scores were superior throughout (all p<0.01).</p><p><strong>Conclusions: </strong>Assistive AI was associated with superior ultrasound scanning performance 2 months after formal teaching. It may aid application of sonoanatomical knowledge and skills gained in teaching, to support delivery of UGRA beyond the immediate post-teaching period.</p><p><strong>Trial registration number: </strong>www.clinicaltrials.govNCT05583032.</p>\",\"PeriodicalId\":33349,\"journal\":{\"name\":\"BMJ Surgery Interventions Health Technologies\",\"volume\":\"6 1\",\"pages\":\"e000264\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11487881/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMJ Surgery Interventions Health Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1136/bmjsit-2024-000264\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Surgery Interventions Health Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/bmjsit-2024-000264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
Prospective randomized evaluation of the sustained impact of assistive artificial intelligence on anesthetists' ultrasound scanning for regional anesthesia.
Objectives: Ultrasound-guided regional anesthesia (UGRA) relies on acquiring and interpreting an appropriate view of sonoanatomy. Artificial intelligence (AI) has the potential to aid this by applying a color overlay to key sonoanatomical structures.The primary aim was to determine whether an AI-generated color overlay was associated with a difference in participants' ability to identify an appropriate block view over a 2-month period after a standardized teaching session (as judged by a blinded assessor). Secondary outcomes included the ability to identify an appropriate block view (unblinded assessor), global rating score and participant confidence scores.
Setting: Simulation scans on healthy volunteers. Initial assessments on 29 November 2022 and 30 November 2022, with follow-up on 25 January 2023 - 27 January 2023.
Participants: 57 junior anesthetists undertook initial assessments and 51 (89.47%) returned at 2 months.
Intervention: Participants performed ultrasound scans for six peripheral nerve blocks, with AI assistance randomized to half of the blocks. Cross-over assignment was employed for 2 months.
Main outcome measures: Blinded experts assessed whether the block view acquired was acceptable (yes/no). Unblinded experts also assessed this parameter and provided a global performance rating (0-100). Participants reported scan confidence (0-100).
Results: AI assistance was associated with a higher rate of appropriate block view acquisition in both blinded and unblinded assessments (p=0.02 and <0.01, respectively). Participant confidence and expert rating scores were superior throughout (all p<0.01).
Conclusions: Assistive AI was associated with superior ultrasound scanning performance 2 months after formal teaching. It may aid application of sonoanatomical knowledge and skills gained in teaching, to support delivery of UGRA beyond the immediate post-teaching period.
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