Journal of medical imaging and radiation sciences最新文献

{"title":"ADVANCEMENTS IN AI TRAINING AND EDUCATION FOR A FUTURE-READY HEALTHCARE SYSTEM","authors":"Kumar Shamie","doi":"10.1016/j.jmir.2023.06.122","DOIUrl":"https://doi.org/10.1016/j.jmir.2023.06.122","url":null,"abstract":"","PeriodicalId":94092,"journal":{"name":"Journal of medical imaging and radiation sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47064319","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}

{"title":"SAFETY AND ACCURACY OF MULTIPLE PRENATAL ULTRASOUND EXAMINATIONS FOR FETAL GENDER IDENTIFICATION: A SCOPING REVIEW","authors":"F. A. Hadi, F. W. A. Zaiki","doi":"10.1016/j.jmir.2023.06.133","DOIUrl":"https://doi.org/10.1016/j.jmir.2023.06.133","url":null,"abstract":"","PeriodicalId":94092,"journal":{"name":"Journal of medical imaging and radiation sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44373998","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}

{"title":"A COMPREHENSIVE REVIEW OF INDONESIAN DIAGNOSTIC REFERENCE LEVELS (IDRLs) FOR CT SCAN EXAMINATIONS","authors":"P. Wulandari, Ppw Gitawiarsa, Putu Adi Susanta","doi":"10.1016/j.jmir.2023.06.113","DOIUrl":"https://doi.org/10.1016/j.jmir.2023.06.113","url":null,"abstract":"","PeriodicalId":94092,"journal":{"name":"Journal of medical imaging and radiation sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49012753","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}

{"title":"DIAGNOSTIC REFERENCE LEVEL OF RADIATION DOSE AND IMAGE QUALITY OF ADULT CT ABDOMINAL EXAMINATIONS IN A TERTIARY HOSPITAL IN MALAYSIA","authors":"Mohamad Asmawi Mohamad Ariffin, M. Karim","doi":"10.1016/j.jmir.2023.06.108","DOIUrl":"https://doi.org/10.1016/j.jmir.2023.06.108","url":null,"abstract":"","PeriodicalId":94092,"journal":{"name":"Journal of medical imaging and radiation sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47236520","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}

{"title":"THE APPLICATION OF ARTIFICIAL INTELLIGENCE ON SCAR SEGMENTATION IN CARDIAC MAGNETIC RESONANCE IMAGING: A SYSTEMATIC LITERATURE REVIEW","authors":"Roslan Nurul Ashikin, Setiawan Agung Nugroho, Norzan Muhammad Ammar, Jasmin Nur Hayati","doi":"10.1016/j.jmir.2023.06.117","DOIUrl":"https://doi.org/10.1016/j.jmir.2023.06.117","url":null,"abstract":"OBJECTIVE We aimed to assess the application of Artificial Intelligence (AI) methodologies for scar segmentation in cardiac magnetic resonance (CMR) imaging and its performance evaluation. MATERIALS & METHODS Following PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) guidelines, a systematic search of PubMed and Science Direct was undertaken from 2012 to 2022 to search for full-text publications that implemented AI methods on scar segmentation in CMR in patients with cardiovascular diseases. RESULTS A total of 21 articles out of 475 articles were selected for the final review. Supervised deep learning and unsupervised machine learning were implemented in 16 (76.2%) and 5 (23.8%) articles respectively, favouring learning methods. Dice similarity coefficient (DSC) value was used as measures of the performance of AI methods in 19 articles. Supervised and unsupervised learning models had similar DSC compared to manual segmentation with a score of 0.74, 95% confidence interval (CI) [0.67, 0.81] vs 0.71, 95% CI [0.63, 0.79], P = 0.35). The application of AI has been advanced with the emerging of sophisticated algorithms allowing for quantification of border zone and microvascular obstruction regions. The performance of AI method is highly depending on the network architecture, training strategies, and data set used for training. CONCLUSION The presence of AI methods in scar segmentation demonstrated high feasibility with good performance evaluation for quantifying myocardial scar. This study can have a huge impact on clinicians in health care by improving their experiences with scar segmentation and enhancing clinically validated application of AI in CMR imaging. We aimed to assess the application of Artificial Intelligence (AI) methodologies for scar segmentation in cardiac magnetic resonance (CMR) imaging and its performance evaluation. Following PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) guidelines, a systematic search of PubMed and Science Direct was undertaken from 2012 to 2022 to search for full-text publications that implemented AI methods on scar segmentation in CMR in patients with cardiovascular diseases. A total of 21 articles out of 475 articles were selected for the final review. Supervised deep learning and unsupervised machine learning were implemented in 16 (76.2%) and 5 (23.8%) articles respectively, favouring learning methods. Dice similarity coefficient (DSC) value was used as measures of the performance of AI methods in 19 articles. Supervised and unsupervised learning models had similar DSC compared to manual segmentation with a score of 0.74, 95% confidence interval (CI) [0.67, 0.81] vs 0.71, 95% CI [0.63, 0.79], P = 0.35). The application of AI has been advanced with the emerging of sophisticated algorithms allowing for quantification of border zone and microvascular obstruction regions. The performance of AI method is highly depending on the network architecture, training","PeriodicalId":94092,"journal":{"name":"Journal of medical imaging and radiation sciences","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136265481","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}

{"title":"EFFECT OF INDUCTION CHEMOTHERAPY ON GROSS TUMOUR VOLUME REDUCTION AND ORGAN DOSES IN ADVANCED-STAGE NASOPHARYNGEAL CARCINOMA: CORRELATION WITH EPSTEIN-BARR VIRUS DNA LEVELS","authors":"Chen Semaya Natalia, Ong Xue Jing, Sin Sze Yarn","doi":"10.1016/j.jmir.2023.06.137","DOIUrl":"https://doi.org/10.1016/j.jmir.2023.06.137","url":null,"abstract":"","PeriodicalId":94092,"journal":{"name":"Journal of medical imaging and radiation sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47823296","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}

{"title":"RADIATION EXPOSURE RATE REDUCTION IN MOBILE X-RAY EXAMINATION EQUIPPED WITH A BLUETOOTH WIRELESS EXPOSURE SWITCH:A PRE-EXPERIMENTAL STUDY","authors":"Sulistiyadi Akhmad Haris, Wibowo Ardi Soesilo, Rochmayanti Dwi, Kartikasari Yeti, S. Sugiyanto, Ardiyanto Jeffri, Rasyid Rasyid, Nurbaiti Salis","doi":"10.1016/j.jmir.2023.06.136","DOIUrl":"https://doi.org/10.1016/j.jmir.2023.06.136","url":null,"abstract":"","PeriodicalId":94092,"journal":{"name":"Journal of medical imaging and radiation sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47852108","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}

{"title":"MAPPING SENTENCE COMPREHENSION TASK IN HEALTHY COGNITIVE AGEING (HCA): A fMRI STUDY","authors":"M. Mazlyfarina, Sallehuddin Afrina, Mohamad Ariffin Elyqa Farra, Mohamad Shahimin Mizhanim, A. R. Rogayah, A. A. Azmarul, Leong Yuh Yang, Sahnan Norshuhada","doi":"10.1016/j.jmir.2023.06.141","DOIUrl":"https://doi.org/10.1016/j.jmir.2023.06.141","url":null,"abstract":"","PeriodicalId":94092,"journal":{"name":"Journal of medical imaging and radiation sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44792348","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}

{"title":"CONTRAST ENHANCEMENT AND IMAGE QUALITY ACCEPTABILITY OF COMPUTED TOMOGRAPHY PULMONARY ANGIOGRAPHY USING AUTOMATIC BOLUS TRACKING AND TEST BOLUS CONTRAST INJECTION TECHNIQUES","authors":"Ahmad Sabri Afiq, M. Shafini, Nor Azman Nurul Dizyana, Mahmud Mohd Hafizi","doi":"10.1016/j.jmir.2023.06.118","DOIUrl":"https://doi.org/10.1016/j.jmir.2023.06.118","url":null,"abstract":"","PeriodicalId":94092,"journal":{"name":"Journal of medical imaging and radiation sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48713004","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}

{"title":"THE CONTRAST-ENHANCE SEQUENCE AND 3D TIME-OF-FLIGHT SEQUENCE COMPARISON ON ANEURISMS MR ANGIOGRAPHY EXAMINATION : STUDI LITERATURE REVIEW","authors":"Lutfiani Sintia Aprilina, Susanto Edy, Murniati Emi, Halim Kelvin","doi":"10.1016/j.jmir.2023.06.128","DOIUrl":"https://doi.org/10.1016/j.jmir.2023.06.128","url":null,"abstract":"","PeriodicalId":94092,"journal":{"name":"Journal of medical imaging and radiation sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48806310","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}