{"title":"心脏病学中的人工智能研究要点:挑战与缓解","authors":"Biyanka Jaltotage MBBS, MSc , Girish Dwivedi MD, PhD","doi":"10.1016/j.cjco.2024.07.015","DOIUrl":null,"url":null,"abstract":"<div><div>Technology using artificial intelligence (AI) is flourishing; the same advancements can be seen in health care. Cardiology in particular is well placed to take advantage of AI because of the data-intensive nature of the field and the current strain on existing resources in the management of cardiovascular disease. With AI nearing the stage of routine implementation into clinical care, considerations need to be made to ensure the software is effective and safe. The benefits of AI are well established, but the challenges and ethical considerations are less well understood. As a result, there is currently a lack of consensus on what the essential components are in an AI study. In this review we aim to assess and provide greater clarity on the challenges encountered in conducting AI studies and explore potential mitigations that could facilitate the successful integration of AI in the management of cardiovascular disease.</div></div>","PeriodicalId":36924,"journal":{"name":"CJC Open","volume":"6 11","pages":"Pages 1334-1341"},"PeriodicalIF":2.5000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Essentials for AI Research in Cardiology: Challenges and Mitigations\",\"authors\":\"Biyanka Jaltotage MBBS, MSc , Girish Dwivedi MD, PhD\",\"doi\":\"10.1016/j.cjco.2024.07.015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Technology using artificial intelligence (AI) is flourishing; the same advancements can be seen in health care. Cardiology in particular is well placed to take advantage of AI because of the data-intensive nature of the field and the current strain on existing resources in the management of cardiovascular disease. With AI nearing the stage of routine implementation into clinical care, considerations need to be made to ensure the software is effective and safe. The benefits of AI are well established, but the challenges and ethical considerations are less well understood. As a result, there is currently a lack of consensus on what the essential components are in an AI study. In this review we aim to assess and provide greater clarity on the challenges encountered in conducting AI studies and explore potential mitigations that could facilitate the successful integration of AI in the management of cardiovascular disease.</div></div>\",\"PeriodicalId\":36924,\"journal\":{\"name\":\"CJC Open\",\"volume\":\"6 11\",\"pages\":\"Pages 1334-1341\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CJC Open\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2589790X24003214\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CJC Open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589790X24003214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Essentials for AI Research in Cardiology: Challenges and Mitigations
Technology using artificial intelligence (AI) is flourishing; the same advancements can be seen in health care. Cardiology in particular is well placed to take advantage of AI because of the data-intensive nature of the field and the current strain on existing resources in the management of cardiovascular disease. With AI nearing the stage of routine implementation into clinical care, considerations need to be made to ensure the software is effective and safe. The benefits of AI are well established, but the challenges and ethical considerations are less well understood. As a result, there is currently a lack of consensus on what the essential components are in an AI study. In this review we aim to assess and provide greater clarity on the challenges encountered in conducting AI studies and explore potential mitigations that could facilitate the successful integration of AI in the management of cardiovascular disease.