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Enhancing diagnostic accuracy in neurology: a deep learning framework for distinguishing multiple sclerosis from cerebral small vessel disease on routine non-contrast brain MRI 增强神经学诊断的准确性：在常规非对比脑MRI上区分多发性硬化症和脑血管疾病的深度学习框架
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100553
Elham Keshavarz, Kavoos Firouznia, Mehran Arab Ahmadi, Hassan Hashemi, Melika Boroomand-Saboor, Rassa Ghavami Modegh, Haned Dashti, Masoumeh Gity
{"title":"Enhancing diagnostic accuracy in neurology: a deep learning framework for distinguishing multiple sclerosis from cerebral small vessel disease on routine non-contrast brain MRI","authors":"Elham Keshavarz, Kavoos Firouznia, Mehran Arab Ahmadi, Hassan Hashemi, Melika Boroomand-Saboor, Rassa Ghavami Modegh, Haned Dashti, Masoumeh Gity","doi":"10.1016/j.rcro.2026.100553","DOIUrl":"10.1016/j.rcro.2026.100553","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100553"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859199","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
Augmenting emergency imaging decisions: performance of a custom large language-model decision-support system for SHOs in time-critical medical emergencies 增强紧急影像决策：在时间紧迫的医疗紧急情况下，为SHOs定制的大型语言模型决策支持系统的性能
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100559
Ebinesh Arulnathan, Praislin Gideon, Shirou Masoodi, Swetha Tula, Matthew Kueh, Rayya Naffa', Sivakumar Manickam, Mohammad Shoaib
{"title":"Augmenting emergency imaging decisions: performance of a custom large language-model decision-support system for SHOs in time-critical medical emergencies","authors":"Ebinesh Arulnathan, Praislin Gideon, Shirou Masoodi, Swetha Tula, Matthew Kueh, Rayya Naffa', Sivakumar Manickam, Mohammad Shoaib","doi":"10.1016/j.rcro.2026.100559","DOIUrl":"10.1016/j.rcro.2026.100559","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100559"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859205","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
Integrating an LLM-based tool into emergency CT workflow: enhancing trainee vetting and protocolling in the NHS 将基于法学硕士的工具整合到紧急CT工作流程中：加强NHS培训生的审查和处理
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100572
Matthew Kueh, Ebinesh Arulnathan, Sivakumar Manickam
{"title":"Integrating an LLM-based tool into emergency CT workflow: enhancing trainee vetting and protocolling in the NHS","authors":"Matthew Kueh, Ebinesh Arulnathan, Sivakumar Manickam","doi":"10.1016/j.rcro.2026.100572","DOIUrl":"10.1016/j.rcro.2026.100572","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100572"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859215","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
Automated uterine fibroid mapping on MRI using deep learning: development and proof of concept 利用深度学习在MRI上自动绘制子宫肌瘤：概念的发展和证明
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100475
Meghana Menon, Amala Sunder, Hani Al Fadhel, Basma Darwish
{"title":"Automated uterine fibroid mapping on MRI using deep learning: development and proof of concept","authors":"Meghana Menon, Amala Sunder, Hani Al Fadhel, Basma Darwish","doi":"10.1016/j.rcro.2026.100475","DOIUrl":"10.1016/j.rcro.2026.100475","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100475"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859302","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
Framework for clinical validation of an autonomous AI-based breast cancer detection prototype: algorithmic validation using the Wisconsin Diagnostic Dataset 基于自主人工智能的乳腺癌检测原型的临床验证框架：使用威斯康星州诊断数据集的算法验证
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100477
Alexandre St-Vincent Villeneuve
{"title":"Framework for clinical validation of an autonomous AI-based breast cancer detection prototype: algorithmic validation using the Wisconsin Diagnostic Dataset","authors":"Alexandre St-Vincent Villeneuve","doi":"10.1016/j.rcro.2026.100477","DOIUrl":"10.1016/j.rcro.2026.100477","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100477"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859304","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
Hybrid natural language processing and ChatGPT system for automated grading of short-answer assessments: validation in medical education using radiology quizzes 混合自然语言处理和ChatGPT系统用于简短答案评估的自动评分：使用放射学测验的医学教育验证
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100485
Xu Hao Isaac Tan, Thida Win, Phua Hwee Tang
{"title":"Hybrid natural language processing and ChatGPT system for automated grading of short-answer assessments: validation in medical education using radiology quizzes","authors":"Xu Hao Isaac Tan, Thida Win, Phua Hwee Tang","doi":"10.1016/j.rcro.2026.100485","DOIUrl":"10.1016/j.rcro.2026.100485","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100485"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859312","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
GraphCXR: a graph-based vision–language framework for clinically grounded chest X-ray interpretation GraphCXR：一种基于图形的视觉语言框架，用于临床基础胸片解释
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100569
Aradhya Khandeparker, David Hogg, Ping Lu
{"title":"GraphCXR: a graph-based vision–language framework for clinically grounded chest X-ray interpretation","authors":"Aradhya Khandeparker, David Hogg, Ping Lu","doi":"10.1016/j.rcro.2026.100569","DOIUrl":"10.1016/j.rcro.2026.100569","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100569"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148861647","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 framework for validation and integration of multi-pathology AI outputs in real-world radiology reports 在真实世界的放射学报告中验证和整合多病理人工智能输出的框架
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100571
Carlos Schorlemmer, Christian Gottfried Völker, Ernest Montañà Ortiz
{"title":"A framework for validation and integration of multi-pathology AI outputs in real-world radiology reports","authors":"Carlos Schorlemmer, Christian Gottfried Völker, Ernest Montañà Ortiz","doi":"10.1016/j.rcro.2026.100571","DOIUrl":"10.1016/j.rcro.2026.100571","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100571"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148861859","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
Peroneal compartment pathology from a tertiary care county hospital: Imaging-based epidemiological study with clinical correlation 县三级医院腓骨室病理：影像学流行病学研究与临床相关性
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-05-13 DOI: 10.1016/j.rcro.2026.100473
Muhammad Rubeel Akram, Avneesh Chhabra, Anuj Gupta, Naveen Rajamohan, George Liu, Michael Vanpelt, Yin Xi, Flavio Duarte Silva
{"title":"Peroneal compartment pathology from a tertiary care county hospital: Imaging-based epidemiological study with clinical correlation","authors":"Muhammad Rubeel Akram,&nbsp;Avneesh Chhabra,&nbsp;Anuj Gupta,&nbsp;Naveen Rajamohan,&nbsp;George Liu,&nbsp;Michael Vanpelt,&nbsp;Yin Xi,&nbsp;Flavio Duarte Silva","doi":"10.1016/j.rcro.2026.100473","DOIUrl":"10.1016/j.rcro.2026.100473","url":null,"abstract":"<div><h3>Objectives</h3><div>To assess peroneal compartment pathology frequency in patients with 3-T ankle MRIs for ankle pain/injury and correlate with clinical findings.</div></div><div><h3>Method</h3><div>373 patients with suspected internal ankle derangements who underwent 3-T ankle MRIs were included. The scans were independently reviewed by two blinded musculoskeletal radiologists, who classified cases as normal or exhibiting peroneal pathologies, including peroneus longus and brevis tenosynovitis, tendinopathy, tears, superior peroneal retinaculum injuries, and anatomical variants, based on established literature criteria. Agreement was assessed using Cohen's kappa, and pathologies were correlated with acute-versus-chronic pain and the presence/absence of laterality of pain.</div></div><div><h3>Results</h3><div>404 ankle MRIs from 373 patients (mean age, 49 years ± 12, 112 male) were evaluated. The overall frequency of peroneal tendon pathology was 71.0%, 34.4% common peroneal tenosynovitis, 12.6% peroneus brevis tenosynovitis, and 14.1% peroneus longus tenosynovitis. Peroneus brevis tendinopathy appeared in 22.5% of cases, with 23.5% partial/split tears and 0.5% complete tears. Peroneus longus tendinopathy appeared in 37.6% of cases, with 2.0% partial/split tears and 0.2% complete tears. Peroneus quartus was seen in 31.7% of cases, 4.0% had a low peroneus brevis muscle belly, and 40.1% had a thickened superior peroneal retinaculum.</div></div><div><h3>Conclusion</h3><div>Peroneal pathology is common on 3-T ankle MRIs. Chronic ankle pain correlates with tendinopathy, and lateral pain with tenosynovitis. Radiologists should note this high prevalence even without lateral pain, and assess retinaculum thickness to improve diagnostic confidence given correlation with tendon and tenosynovial abnormalities.</div></div>","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100473"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147956933","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
A novel AI-based pipeline for delivering radiologic education: the ‘Atlas of Acute CT Brain Imaging’ prototype 一种新的基于人工智能的放射学教育管道：“急性CT脑成像图谱”原型
The Royal College of Radiologists Open Pub Date : 2026-01-01 Epub Date: 2026-08-31 DOI: 10.1016/j.rcro.2026.100489
David Rosewarne, Mu'ath Ibrahim, Ziba Gandomkar, Patrick Brennan
{"title":"A novel AI-based pipeline for delivering radiologic education: the ‘Atlas of Acute CT Brain Imaging’ prototype","authors":"David Rosewarne,&nbsp;Mu'ath Ibrahim,&nbsp;Ziba Gandomkar,&nbsp;Patrick Brennan","doi":"10.1016/j.rcro.2026.100489","DOIUrl":"10.1016/j.rcro.2026.100489","url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"4 ","pages":"Article 100489"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148859130","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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