The Royal College of Radiologists Open最新文献

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Understanding the perspectives of medical students of using AI for history-taking 了解医学生使用人工智能记录历史的观点
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100510
Swapan Chowdhury, Sabyasachi Chowdhury
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引用次数: 0
Comparative study of radiologists’ diagnostic performance with and without artificial intelligence support for breast lesion detection in 2D mammography 在有和没有人工智能支持的情况下,放射科医生在二维乳房x光检查中乳腺病变检测的诊断效果比较研究
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100524
Louis Lassalle, Jeanne Ventre, Vincent Marty, Joya Hadchiti, Nor-eddine Regnard, Anne-Laure Hermann, Elmar Kotter
{"title":"Comparative study of radiologists’ diagnostic performance with and without artificial intelligence support for breast lesion detection in 2D mammography","authors":"Louis Lassalle, Jeanne Ventre, Vincent Marty, Joya Hadchiti, Nor-eddine Regnard, Anne-Laure Hermann, Elmar Kotter","doi":"10.1016/j.rcro.2026.100524","DOIUrl":"10.1016/j.rcro.2026.100524","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100524"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI in the world’s largest democracy: addressing the implementation challenges of artificial intelligence in Indian radiology 世界上最大的民主国家的人工智能:应对印度放射学中人工智能的实施挑战
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100536
Shajeev Jaikumar
{"title":"AI in the world’s largest democracy: addressing the implementation challenges of artificial intelligence in Indian radiology","authors":"Shajeev Jaikumar","doi":"10.1016/j.rcro.2026.100536","DOIUrl":"10.1016/j.rcro.2026.100536","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100536"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Rejecting AI legal personhood: targeted no-fault compensation for AI-attributable harm in clinical practice 拒绝人工智能法律人格:临床实践中人工智能可归害的定向无过错赔偿
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100537
Sin Ting Chan
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引用次数: 0
Implementation, use and perceived impact of artificial intelligence tools for chest diagnostics: qualitative analysis of 10 NHS organisations in England 人工智能工具对胸部诊断的实施、使用和感知影响:对英国10家NHS组织的定性分析
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100562
Angus Ramsay
{"title":"Implementation, use and perceived impact of artificial intelligence tools for chest diagnostics: qualitative analysis of 10 NHS organisations in England","authors":"Angus Ramsay","doi":"10.1016/j.rcro.2026.100562","DOIUrl":"10.1016/j.rcro.2026.100562","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100562"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Developing MaRISA: the magnetic resonance implant safety agent 磁共振植入物安全剂MaRISA的研制
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100478
Mario Nicola, Anna Egan, Agnieszka Peplinski, David Adams, Joe Martin
{"title":"Developing MaRISA: the magnetic resonance implant safety agent","authors":"Mario Nicola, Anna Egan, Agnieszka Peplinski, David Adams, Joe Martin","doi":"10.1016/j.rcro.2026.100478","DOIUrl":"10.1016/j.rcro.2026.100478","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100478"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Assessing the performance of a deep learning tool for the detection of acute scaphoid fractures in paediatric radiographs 评估深度学习工具在儿科x线片中检测急性舟状骨骨折的性能
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100513
Samuel Evans, Dunsin Oderinlo, Sameera Alibhai, Aarushi Johri, Lina Ogbagabriel, Amaka Offiah
{"title":"Assessing the performance of a deep learning tool for the detection of acute scaphoid fractures in paediatric radiographs","authors":"Samuel Evans, Dunsin Oderinlo, Sameera Alibhai, Aarushi Johri, Lina Ogbagabriel, Amaka Offiah","doi":"10.1016/j.rcro.2026.100513","DOIUrl":"10.1016/j.rcro.2026.100513","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100513"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Assessing staff perspectives on governance, trust and bias in AI for radiotherapy: a departmental service evaluation 评估员工对人工智能放射治疗的治理、信任和偏见的看法:一项部门服务评估
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100539
Rashi Yadav, Sally Taylor, Daniel Welsh, Matthew Clarke, Sam Ingram, Alan McWilliam, Philip Whitehurst, Rachael Wooder, Marianne Anzar, Kathryn Banfill
{"title":"Assessing staff perspectives on governance, trust and bias in AI for radiotherapy: a departmental service evaluation","authors":"Rashi Yadav, Sally Taylor, Daniel Welsh, Matthew Clarke, Sam Ingram, Alan McWilliam, Philip Whitehurst, Rachael Wooder, Marianne Anzar, Kathryn Banfill","doi":"10.1016/j.rcro.2026.100539","DOIUrl":"10.1016/j.rcro.2026.100539","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100539"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Navigating artificial intelligence (AI) leadership: radiographers’ readiness and challenges in the UK 导航人工智能(AI)领导:英国放射技师的准备和挑战
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100543
Gemma Walsh, Janice St. John-Matthews, Yiannis Kyratsis, Amanda Goddall, Christina Malamateniou
{"title":"Navigating artificial intelligence (AI) leadership: radiographers’ readiness and challenges in the UK","authors":"Gemma Walsh, Janice St. John-Matthews, Yiannis Kyratsis, Amanda Goddall, Christina Malamateniou","doi":"10.1016/j.rcro.2026.100543","DOIUrl":"10.1016/j.rcro.2026.100543","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100543"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Diagnostic accuracy of an AI-driven prioritisation tool for the identification of high-confidence normal CT head studies 人工智能驱动的优先排序工具用于识别高置信度正常CT头部研究的诊断准确性
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100549
Kieran Foley, Stefan Schwarz, Hisham Jaber, Christopher Goodwin, Mel Ryan, Alicja Raginis-Zborowska, Thomas Pickersgill, Jack Sheppard, Caroline Parker, Dane Evans, Phillip Wardle
{"title":"Diagnostic accuracy of an AI-driven prioritisation tool for the identification of high-confidence normal CT head studies","authors":"Kieran Foley, Stefan Schwarz, Hisham Jaber, Christopher Goodwin, Mel Ryan, Alicja Raginis-Zborowska, Thomas Pickersgill, Jack Sheppard, Caroline Parker, Dane Evans, Phillip Wardle","doi":"10.1016/j.rcro.2026.100549","DOIUrl":"10.1016/j.rcro.2026.100549","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100549"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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