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Enhancing Early Skin Cancer Diagnosis: Ensemble Learning and Feature Engineering for Improved Detection 增强皮肤癌早期诊断：用于改进检测的集成学习和特征工程
The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100211
Muhammad Tariq Pervez, Tanveer Hussain
{"title":"Enhancing Early Skin Cancer Diagnosis: Ensemble Learning and Feature Engineering for Improved Detection","authors":"Muhammad Tariq Pervez, Tanveer Hussain","doi":"10.1016/j.rcro.2024.100211","DOIUrl":"10.1016/j.rcro.2024.100211","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100211"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143127833","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
Performance of AI in fracture detection: An overview of reviews 人工智能在裂缝检测中的性能：综述
The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100207
Ciarán O'Hanlon , Alex Freethy , Rachel Kuo , Alan Hasanic , Sophie Ludbrooke , Catriona Stoddart , Eli Harriss , Gary Collins , Dominic Furniss
{"title":"Performance of AI in fracture detection: An overview of reviews","authors":"Ciarán O'Hanlon , Alex Freethy , Rachel Kuo , Alan Hasanic , Sophie Ludbrooke , Catriona Stoddart , Eli Harriss , Gary Collins , Dominic Furniss","doi":"10.1016/j.rcro.2024.100207","DOIUrl":"10.1016/j.rcro.2024.100207","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100207"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176424","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
‘How I would like AI used for paediatric imaging’ – parents' and carers’ perspective “我多么希望将人工智能用于儿科成像”——父母和护理人员的观点
The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100185
Girija Agarwal , Raimat Korede Salami , Deidre Leyden , Lauren Lee , Helena Martin , Lavanhya Shantharam , Kate Thomas , Emily Ashworth , Emma Allen , Ka-Wai Yung , Cato Pauling , Owen Arthurs , Susan Cheng Shelmerdine
{"title":"‘How I would like AI used for paediatric imaging’ – parents' and carers’ perspective","authors":"Girija Agarwal , Raimat Korede Salami , Deidre Leyden , Lauren Lee , Helena Martin , Lavanhya Shantharam , Kate Thomas , Emily Ashworth , Emma Allen , Ka-Wai Yung , Cato Pauling , Owen Arthurs , Susan Cheng Shelmerdine","doi":"10.1016/j.rcro.2024.100185","DOIUrl":"10.1016/j.rcro.2024.100185","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100185"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100565","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
CDSS – An Interdisciplinary Perspective on the Statement of the Central Ethics Commission of the German Medical Association 从跨学科的角度看德国医学会中央伦理委员会的声明
The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100163
Paula Ziethmann, Fabian Stieler, Miriam Elia, Bernhard Bauer, Kerstin Schlögl-Flierl
{"title":"CDSS – An Interdisciplinary Perspective on the Statement of the Central Ethics Commission of the German Medical Association","authors":"Paula Ziethmann, Fabian Stieler, Miriam Elia, Bernhard Bauer, Kerstin Schlögl-Flierl","doi":"10.1016/j.rcro.2024.100163","DOIUrl":"10.1016/j.rcro.2024.100163","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100163"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105226","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
Artificial Intelligence (AI) in early triaging of referred patients with retinal disease – AI Solutions in Ophthalmic healthcare. 人工智能（AI）在视网膜疾病转诊患者早期分诊中的应用——眼科保健中的AI解决方案。
The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100182
Ebube Obi , David Owens , Gareth Bulpin , Sharon Beatty
{"title":"Artificial Intelligence (AI) in early triaging of referred patients with retinal disease – AI Solutions in Ophthalmic healthcare.","authors":"Ebube Obi , David Owens , Gareth Bulpin , Sharon Beatty","doi":"10.1016/j.rcro.2024.100182","DOIUrl":"10.1016/j.rcro.2024.100182","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100182"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143092042","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
Key clinical considerations in selecting total neoadjuvant therapy for locally advanced rectal cancer 局部晚期直肠癌新辅助治疗选择的关键临床考虑因素
The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2025.100348
S. Parikh , P. Correa , R. Sinha
{"title":"Key clinical considerations in selecting total neoadjuvant therapy for locally advanced rectal cancer","authors":"S. Parikh ,&nbsp;P. Correa ,&nbsp;R. Sinha","doi":"10.1016/j.rcro.2025.100348","DOIUrl":"10.1016/j.rcro.2025.100348","url":null,"abstract":"<div><div>Total neoadjuvant therapy (TNT) is gaining favour as the preferred treatment approach for all locally advanced rectal cancer (LARC). The evidence landscape for TNT is supported by multiple trials that show a reduction in distant metastases and more recently an overall survival benefit. However, LARC as a term includes a heterogenous patient population. There are also several different schedules of radiotherapy and chemotherapy that fall under the umbrella term of TNT. The role of watch and wait strategies after TNT is an evolving option that can improve long term functional outcomes for a subgroup of patients. These developments together have resulted in a complex clinical and evidence landscape with different endpoints that need attention when selecting a neoadjuvant treatment strategy.</div><div>Three broad considerations are discussed in this commentary. Firstly, tumour characteristics and MRI-based risk stratification relevant to a summary of oncological outcomes, including impact on rates of local control, development of distant metastases, survival and relevant functional outcomes after TNT is presented. Secondly, the value placed by the patient on non-operative management. The evidence supporting watch and wait after TNT and the limitations of such an approach is summarised with helpful infographics to support shared decision making in clinic. Finally, patient specific factors such as comorbidity are detailed.</div><div>This commentary aims to serve as a nuanced map that describes how the current landscape of TNT strategies can be applied to an individual patient. In conclusion, the anticipated near-future developments in TNT are also highlighted.</div></div>","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100348"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144220807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development of an in-house Artificial Intelligence auto-contouring model for target delineation in craniospinal irradiation 开发内部人工智能自动轮廓模型，用于颅骨放射治疗中的靶区划分
The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100217
Samuel Ingram , Peter Sitch , Matthew Lowe , Love Goyal , Marianne Aznar , Matthew Clarke , Gillian Whitfield , Shermaine Pan
{"title":"Development of an in-house Artificial Intelligence auto-contouring model for target delineation in craniospinal irradiation","authors":"Samuel Ingram ,&nbsp;Peter Sitch ,&nbsp;Matthew Lowe ,&nbsp;Love Goyal ,&nbsp;Marianne Aznar ,&nbsp;Matthew Clarke ,&nbsp;Gillian Whitfield ,&nbsp;Shermaine Pan","doi":"10.1016/j.rcro.2024.100217","DOIUrl":"10.1016/j.rcro.2024.100217","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100217"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181729","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 predicts normal chest radiographs in real-world NHS practice 人工智能预测真实世界中英国国家医疗服务系统的正常胸片检查结果
The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100222
Mathew Storey , Anthony Chung , Jack Packer , Geraldine Dean , Susan Shelmardine
{"title":"AI predicts normal chest radiographs in real-world NHS practice","authors":"Mathew Storey ,&nbsp;Anthony Chung ,&nbsp;Jack Packer ,&nbsp;Geraldine Dean ,&nbsp;Susan Shelmardine","doi":"10.1016/j.rcro.2024.100222","DOIUrl":"10.1016/j.rcro.2024.100222","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100222"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181757","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
Evaluating artificial intelligence for lung cancer detection on chest radiographs: multi-vendor comparison in a retrospective real-world UK population 评估人工智能在胸部x线片上检测肺癌：在英国真实世界人群的回顾性多供应商比较
The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100230
Ahmed Maiter , Peter Metherall , Jonathan Taylor , Suzanne Matthews , Emily Burton , Katherine Hocking , Sean Burns , Hannah Reilly , Elizabeth Anderson , Samer Alabed , Krit Dwivedi , Mohammed Kamil , Oscar Evans , Wendy Tindale , Andrew Swift , Christopher Johns
{"title":"Evaluating artificial intelligence for lung cancer detection on chest radiographs: multi-vendor comparison in a retrospective real-world UK population","authors":"Ahmed Maiter ,&nbsp;Peter Metherall ,&nbsp;Jonathan Taylor ,&nbsp;Suzanne Matthews ,&nbsp;Emily Burton ,&nbsp;Katherine Hocking ,&nbsp;Sean Burns ,&nbsp;Hannah Reilly ,&nbsp;Elizabeth Anderson ,&nbsp;Samer Alabed ,&nbsp;Krit Dwivedi ,&nbsp;Mohammed Kamil ,&nbsp;Oscar Evans ,&nbsp;Wendy Tindale ,&nbsp;Andrew Swift ,&nbsp;Christopher Johns","doi":"10.1016/j.rcro.2024.100230","DOIUrl":"10.1016/j.rcro.2024.100230","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100230"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134402","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
A Retrospective Study on the Performance of an AI Tool in Detecting Vertebral Fragility Fractures Across Multiple CT Protocols 人工智能工具在多个CT协议中检测椎体脆性骨折性能的回顾性研究
The Royal College of Radiologists Open Pub Date : 2025-01-01 DOI: 10.1016/j.rcro.2024.100224
David Christopher Schramm , Jack Cope , Emma Preston , Rachel Eckert , Muhammad Kassim Javaid , Sarim Ather
{"title":"A Retrospective Study on the Performance of an AI Tool in Detecting Vertebral Fragility Fractures Across Multiple CT Protocols","authors":"David Christopher Schramm ,&nbsp;Jack Cope ,&nbsp;Emma Preston ,&nbsp;Rachel Eckert ,&nbsp;Muhammad Kassim Javaid ,&nbsp;Sarim Ather","doi":"10.1016/j.rcro.2024.100224","DOIUrl":"10.1016/j.rcro.2024.100224","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100224"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143129141","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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