Pub Date : 2025-11-01Epub Date: 2025-07-14DOI: 10.1080/00015385.2025.2530285
Cameron Haskoy, Nils De Marneffe, Patrizio Lancellotti
{"title":"Complete heart block due to extensive leukemic endocardial infiltration.","authors":"Cameron Haskoy, Nils De Marneffe, Patrizio Lancellotti","doi":"10.1080/00015385.2025.2530285","DOIUrl":"10.1080/00015385.2025.2530285","url":null,"abstract":"","PeriodicalId":6979,"journal":{"name":"Acta cardiologica","volume":" ","pages":"1012-1013"},"PeriodicalIF":2.5,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144635904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2025-10-06DOI: 10.1080/00015385.2025.2569027
Alexandre Vallée
Cardiovascular diseases (CVD) remain a significant global health challenge, necessitating innovative approaches. The emergence of digital twin technology, which creates virtual replicas of real-world objects or systems, has shown great promise in various fields, including healthcare. In the context of CVD, digital twins offer a unique opportunity for personalised medicine and risk assessment by integrating diverse data sources and generating patient-specific computational models. This viewpoint explores the potential applications and benefits of digital twins in CVD management, including personalised risk assessment, disease modelling, treatment optimisation, and remote patient monitoring. Additionally, it discusses the challenges and limitations associated with implementing digital twins in the context of cardiovascular diseases. Digital twins have the potential to revolutionise CVD management by providing a dynamic and individualised approach to risk assessment, treatment optimisation, and proactive care. Collaborative efforts between healthcare professionals, researchers, and technology developers are necessary to overcome these challenges and fully realise the potential of digital twins in improving patient outcomes and revolutionising cardiovascular healthcare. Future directions include advancements in artificial intelligence, integration of omics data, real-time monitoring, virtual clinical trials, patient empowerment, and integration with healthcare systems. Digital twins can foster a more personalised approach to managing CVD.
{"title":"Digital twins for cardiovascular diseases: towards personalised and sustainable care.","authors":"Alexandre Vallée","doi":"10.1080/00015385.2025.2569027","DOIUrl":"10.1080/00015385.2025.2569027","url":null,"abstract":"<p><p>Cardiovascular diseases (CVD) remain a significant global health challenge, necessitating innovative approaches. The emergence of digital twin technology, which creates virtual replicas of real-world objects or systems, has shown great promise in various fields, including healthcare. In the context of CVD, digital twins offer a unique opportunity for personalised medicine and risk assessment by integrating diverse data sources and generating patient-specific computational models. This viewpoint explores the potential applications and benefits of digital twins in CVD management, including personalised risk assessment, disease modelling, treatment optimisation, and remote patient monitoring. Additionally, it discusses the challenges and limitations associated with implementing digital twins in the context of cardiovascular diseases. Digital twins have the potential to revolutionise CVD management by providing a dynamic and individualised approach to risk assessment, treatment optimisation, and proactive care. Collaborative efforts between healthcare professionals, researchers, and technology developers are necessary to overcome these challenges and fully realise the potential of digital twins in improving patient outcomes and revolutionising cardiovascular healthcare. Future directions include advancements in artificial intelligence, integration of omics data, real-time monitoring, virtual clinical trials, patient empowerment, and integration with healthcare systems. Digital twins can foster a more personalised approach to managing CVD.</p>","PeriodicalId":6979,"journal":{"name":"Acta cardiologica","volume":" ","pages":"1055-1062"},"PeriodicalIF":2.5,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145231252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2025-04-08DOI: 10.1080/00015385.2025.2490382
Yue Jiang, Lingyan Zhang, Zhaoyang Liu, Lei Wang
In this paper, AI-enabled handheld ultrasound is used in point-of-care or at home, and evaluate the accuracy of it for left ventricular ejection fraction (LVEF) evaluation. It provides a simple, convenient, and practical tool for the patients with heart disease, especially those with heart failure. The AI model used for this AI-enabled handheld ultrasound is a machine learning model trained with tens of thousands of ultrasound four-chamber cardiograms. The LVEF evaluation accuracy of the AI model was compared by the experts performing ultrasound four-chamber cardiogram detection in 100 patients on high-end ultrasound in the hospital. In the 100 clinical trials, the sensitivity, specificity, and accuracy of the AI model were 91%, 95%, and 98%, respectively. Then 10 cases were used to compare the LVEF results of hospital tests with the predicted results of the AI model. The difference between the two is less than 10%. Finally, over the course of one month, the AI-enabled handheld ultrasound was employed to conduct regular evaluations of left LVEF for point-of-care purposes on a group of 10 patients diagnosed with heart failure. The LVEF evaluation accuracy of AI-enabled handheld ultrasound is more than 96%, which was higher than that of experts in high-end ultrasound in hospitals. The easy-to-use AI-enabled handheld ultrasound can evaluate the LVEF in the point of care or at home and get the same accuracy as the high-end ultrasound equipment in the hospital. It may play an important role in monitoring cardiac function at home for the ambulatory heart failure patients.
{"title":"The value of handheld ultrasound in point-of-care or at home EF prediction.","authors":"Yue Jiang, Lingyan Zhang, Zhaoyang Liu, Lei Wang","doi":"10.1080/00015385.2025.2490382","DOIUrl":"10.1080/00015385.2025.2490382","url":null,"abstract":"<p><p>In this paper, AI-enabled handheld ultrasound is used in point-of-care or at home, and evaluate the accuracy of it for left ventricular ejection fraction (LVEF) evaluation. It provides a simple, convenient, and practical tool for the patients with heart disease, especially those with heart failure. The AI model used for this AI-enabled handheld ultrasound is a machine learning model trained with tens of thousands of ultrasound four-chamber cardiograms. The LVEF evaluation accuracy of the AI model was compared by the experts performing ultrasound four-chamber cardiogram detection in 100 patients on high-end ultrasound in the hospital. In the 100 clinical trials, the sensitivity, specificity, and accuracy of the AI model were 91%, 95%, and 98%, respectively. Then 10 cases were used to compare the LVEF results of hospital tests with the predicted results of the AI model. The difference between the two is less than 10%. Finally, over the course of one month, the AI-enabled handheld ultrasound was employed to conduct regular evaluations of left LVEF for point-of-care purposes on a group of 10 patients diagnosed with heart failure. The LVEF evaluation accuracy of AI-enabled handheld ultrasound is more than 96%, which was higher than that of experts in high-end ultrasound in hospitals. The easy-to-use AI-enabled handheld ultrasound can evaluate the LVEF in the point of care or at home and get the same accuracy as the high-end ultrasound equipment in the hospital. It may play an important role in monitoring cardiac function at home for the ambulatory heart failure patients.</p>","PeriodicalId":6979,"journal":{"name":"Acta cardiologica","volume":" ","pages":"979-985"},"PeriodicalIF":2.5,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2025-09-04DOI: 10.1080/00015385.2025.2554390
Thierry Bové
{"title":"What is the optimal site for cardiac pacing in children?","authors":"Thierry Bové","doi":"10.1080/00015385.2025.2554390","DOIUrl":"10.1080/00015385.2025.2554390","url":null,"abstract":"","PeriodicalId":6979,"journal":{"name":"Acta cardiologica","volume":" ","pages":"1037-1038"},"PeriodicalIF":2.5,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144991252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2024-10-29DOI: 10.1080/00015385.2024.2422147
Xinyu Li, Xiaojing Ma, Juan Xia
{"title":"Multimodality imaging for the diagnosis of right atrial capillary haemangioma.","authors":"Xinyu Li, Xiaojing Ma, Juan Xia","doi":"10.1080/00015385.2024.2422147","DOIUrl":"10.1080/00015385.2024.2422147","url":null,"abstract":"","PeriodicalId":6979,"journal":{"name":"Acta cardiologica","volume":" ","pages":"968-969"},"PeriodicalIF":2.5,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142520635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2025-02-28DOI: 10.1080/00015385.2025.2471652
Francesca Cortese, Luisiana Stolfi, Gianpaolo D' Addeo, Marco Fabio Costantino
{"title":"A case of a cardiac primary angiosarcoma.","authors":"Francesca Cortese, Luisiana Stolfi, Gianpaolo D' Addeo, Marco Fabio Costantino","doi":"10.1080/00015385.2025.2471652","DOIUrl":"10.1080/00015385.2025.2471652","url":null,"abstract":"","PeriodicalId":6979,"journal":{"name":"Acta cardiologica","volume":" ","pages":"972-973"},"PeriodicalIF":2.5,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143530907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2025-09-12DOI: 10.1080/00015385.2025.2558382
Flavio Giuseppe Biccirè
{"title":"Uric acid to HDL ratio in hypertension: a new barometer?","authors":"Flavio Giuseppe Biccirè","doi":"10.1080/00015385.2025.2558382","DOIUrl":"10.1080/00015385.2025.2558382","url":null,"abstract":"","PeriodicalId":6979,"journal":{"name":"Acta cardiologica","volume":" ","pages":"1039-1040"},"PeriodicalIF":2.5,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145038762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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