[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117131-en":3,"doc-seo-117131-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},117131,549758252649,"Ivy","https://ap-avatar.wpscdn.com/avatar/8000253669c5317157?_k=1778319167496531819",7,"Healthcare","The Utility of Artificial Intelligence and Machine Learning in the Diagnosis of Takotsubo Cardiomyopathy - Systematic Review","Takotsubo cardiomyopathy (TTC) is a stress-related cardiovascular condition that can mimic acute myocardial infarction while lacking obstructive coronary disease, leading to underdiagnosis and diagnostic delays. A systematic review evaluates the role of artificial intelligence and machine learning algorithms in TTC identification using literature searched from inception to April 8, 2023. Included studies (n=5; 920 patients) assess TTC versus myocardial infarction, myocarditis, and healthy controls, with reported improvements in diagnostic accuracy and reduced differentiation errors.","Downloaded from [http://journals.lww.com/hhmi by BhDMf5ePHKav1zEoum1tQfN4a](http://journals.lww.com/hhmi by BhDMf5ePHKav1zEoum1tQfN4a)+kJLhEZgbsIHo4XMi0hCywCX1AW nYQp/ I l Qr HD3i 3 D0OdRyi 7TvS Fl4Cf3VC4/OAVpDDa8KKGKV0Ymy+78= on 08/05/2024  \n\n| Review Article |\n| --- |\n|  |\n\nThe Utility of Artificial Intelligence and Machine Learning in the Diagnosis of Takotsubo Cardiomyopathy: A Systematic Review  \nHelen Huang1,2, Francesco Perone2,3, Keith Sai Kit Leung2,4,5, Irfan Ullah2,6,7, Quinncy Lee2, Nicholas Chew8, Tong Liu9, Gary Tse9,10,11  \n1Faculty of Medicine and Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland, 2Cardiac Electrophysiology Unit, Cardiovascular Analytics Group, PowerHealth Institute, Hong Kong, China, 3Cardiac Rehabilitation Unit, Rehabilitation Clinic “Villa delle Magnolie”, Caserta, Italy, 4Faculty of Health and Life Sciences, Aston University Medical School, Aston University, Birmingham, UK, 5Hull University Teaching Hospitals, National Health Service Trust, Yorkshire, UK, 6Kabir Medical College, Gandhara University, Peshawar, Pakistan, 7Department of Internal Medicine, Khyber Teaching Hospital, Peshawar, Pakistan, 8Department of Cardiology, National University Heart Centre, National University Health System, Singapore, 9Department of Cardiology, Tianjin Key Laboratory of Ionic‑Molecular Function of Cardiovascular Disease, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China, 10Kent and Medway Medical School, Canterbury, UK, 11School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, China  \nAbstract  \nIntroduction: Takotsubo cardiomyopathy (TTC) is a cardiovascular disease caused by physical/psychological stressors with significant morbidity if left untreated. Because TTC often mimics acute myocardial infarction in the absence of obstructive coronary disease, the condition is often underdiagnosed in the population. Our aim was to discuss the role of artificial intelligence (AI) and machine learning (ML) in diagnosing TTC. Methods: We systematically searched electronic databases from inception until April 8, 2023, for studies on the utility of AI‑ or ML‑based algorithms in diagnosing TTC compared with other cardiovascular diseases or healthy controls. We summarized major findings in a narrative fashion and tabulated relevant numerical parameters. Results: Five studies with a total of 920 patients were included. Four hundred and forty‑seven were diagnosed with TTC via International Classification of Diseases codes or the Mayo Clinic diagnostic criteria, while there were 473 patients in the comparator group (29 of healthy controls, 429 of myocardial infarction, and 14 of acute myocarditis) . Hypertension and smoking were the most common comorbidities in both cohorts, but there were no statistical differences between TTC and comparators. Two studies utilized deep‑learning algorithms on transthoracic echocardiographic images, while the rest incorporated supervised ML on cardiac magnetic resonance imaging, 12‑lead electrocardiographs, and brain magnetic resonance imaging. All studies found that AI‑based algorithms can increase the diagnostic rate of TTC when compared to healthy controls or myocardial infarction patients. In three of these studies, AI‑based algorithms had higher sensitivity and specificity compared to human readers. Conclusion: AI and ML algorithms can improve the diagnostic capacity of TTC and additionally reduce erroneous human error in differentiating from MI and healthy individuals.  \nKeywords: Artificial intelligence, diagnostics, precision medicine, takotsubo cardiomyopathy  \nIntroductIon  \nTakotsubo cardiomyopathy (TTC), also known as broken heart syndrome or stress cardiomyopathy, is a condition characterized by apical heart systolic dysfunction with sudden onset and reversibility that mimics acute coronary syndrome (ACS) but without evidence of coronary artery disease (CAD) on angiography.[1] TTC has ","cbCaiumABsaBUDYw","https://ap.wps.com/l/cbCaiumABsaBUDYw","pdf",3695167,1,14,"English","en",105,"# Abstract\n# Introduction\n# Methods\n# Results\n# Conclusion\n# Keywords\n# IntroductIon","[{\"question\":\"Why is takotsubo cardiomyopathy often hard to diagnose?\",\"answer\":\"TTC can mimic acute myocardial infarction in the absence of obstructive coronary disease, so it is frequently underdiagnosed in clinical practice.\"},{\"question\":\"How was the evidence for AI/ML in TTC diagnosis collected?\",\"answer\":\"Electronic databases were searched from inception until April 8, 2023 for studies evaluating AI- or ML-based algorithms for diagnosing TTC compared with cardiovascular diseases or healthy controls.\"},{\"question\":\"What diagnostic performance benefits were reported for AI-based methods?\",\"answer\":\"All included studies reported higher diagnostic rates for TTC versus healthy controls or myocardial infarction, and three studies reported improved sensitivity and specificity compared with human readers.\"}]","The Utility of Artificial Intelligence and Machine Learning in the Diagnosis of Takotsubo Cardiomyopathy - Systematic Review | PDF",1785674037,35,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"the-utility-of-artificial-intelligence-and-machine-learning-in-the-diagnosis-of-takotsubo-cardiomyopathy-systematic-review","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/healthcare/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/the-utility-of-artificial-intelligence-and-machine-learning-in-the-diagnosis-of-takotsubo-cardiomyopathy-systematic-review/117131/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is takotsubo cardiomyopathy often hard to diagnose?","Question",{"text":75,"@type":76},"TTC can mimic acute myocardial infarction in the absence of obstructive coronary disease, so it is frequently underdiagnosed in clinical practice.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How was the evidence for AI/ML in TTC diagnosis collected?",{"text":80,"@type":76},"Electronic databases were searched from inception until April 8, 2023 for studies evaluating AI- or ML-based algorithms for diagnosing TTC compared with cardiovascular diseases or healthy controls.",{"name":82,"@type":73,"acceptedAnswer":83},"What diagnostic performance benefits were reported for AI-based methods?",{"text":84,"@type":76},"All included studies reported higher diagnostic rates for TTC versus healthy controls or myocardial infarction, and three studies reported improved sensitivity and specificity compared with human readers.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,118,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":116,"slug":117},40,"healthcare",{"id":119,"doc_module":4,"doc_module_name":46,"category_name":120,"show_sort_weight":121,"slug":122},8,"Research & Report",30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]