Can Artificial Intelligence Change our Interpretation of Cardiovascular Risk Scores?
作者信息
Ferreira Maria Cristina Meira, de Oliveira Glaucia Maria Moraes
机构信息
Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ - Brasil.
出版信息
Arq Bras Cardiol. 2024 Jul 19;121(4):e20240280. doi: 10.36660/abc.20240280.
Abstract
摘要
相似文献
1
Can Artificial Intelligence Change our Interpretation of Cardiovascular Risk Scores?人工智能能改变我们对心血管风险评分的解读吗？
Arq Bras Cardiol. 2024 Jul 19;121(4):e20240280. doi: 10.36660/abc.20240280.
2
Beyond Years: Is Artificial Intelligence Ready to Predict Biological Age and Cardiovascular Risk Using Echocardiography?超越岁月：人工智能是否准备好利用超声心动图预测生物学年龄和心血管风险？
J Am Soc Echocardiogr. 2024 Aug;37(8):736-739. doi: 10.1016/j.echo.2024.05.013. Epub 2024 May 24.
3
Gender Bias in AI's Perception of Cardiovascular Risk.人工智能对心血管风险感知的性别偏见。
J Med Internet Res. 2024 Oct 22;26:e54242. doi: 10.2196/54242.
4
Development and validation of multicentre study on novel Artificial Intelligence-based Cardiovascular Risk Score (AICVD).新型基于人工智能的心血管风险评分（AICVD）多中心研究的开发和验证。
Fam Med Community Health. 2024 Jan 18;12(Suppl 1):e002340. doi: 10.1136/fmch-2023-002340.
5
A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction.人工智能模型在心血管疾病风险预测中应用的时间事件结局的系统评价。
J Med Syst. 2024 Jul 19;48(1):68. doi: 10.1007/s10916-024-02087-7.
6
Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study.人工智能增强心电图用于识别性别相关心血管风险连续体：一项回顾性队列研究
Lancet Digit Health. 2025 Mar;7(3):e184-e194. doi: 10.1016/j.landig.2024.12.003.
7
Advancing Cardiovascular Risk Assessment with Artificial Intelligence: Opportunities and Implications in North Carolina.利用人工智能推进心血管风险评估：北卡罗来纳州的机遇与影响
N C Med J. 2024;85(1). doi: 10.18043/001c.91424. Epub 2024 Jan 10.
8
Artificial intelligence in preventive cardiology.人工智能在预防心脏病学中的应用。
Prog Cardiovasc Dis. 2024 May-Jun;84:76-89. doi: 10.1016/j.pcad.2024.03.002. Epub 2024 Mar 7.
9
Harnessing Electronic Health Records and Artificial Intelligence for Enhanced Cardiovascular Risk Prediction: A Comprehensive Review.利用电子健康记录和人工智能增强心血管疾病风险预测：一项全面综述。
J Am Heart Assoc. 2025 Mar 18;14(6):e036946. doi: 10.1161/JAHA.124.036946. Epub 2025 Mar 13.
10
Digital twins: reimagining the future of cardiovascular risk prediction and personalised care.数字孪生：重塑心血管疾病风险预测与个性化医疗的未来
Hellenic J Cardiol. 2025 Jan-Feb;81:4-8. doi: 10.1016/j.hjc.2024.06.001. Epub 2024 Jun 7.
本文引用的文献
1
Beyond the GRACE ACS Score: Do We Need a Different Model for Men and Women after STEMI?超越 GRACE ACS 评分：STEMI 后男性和女性需要不同的模型吗？
Arq Bras Cardiol. 2024 Apr;121(4):e20230060. doi: 10.36660/abc.20230060.
2
Modification of the GRACE Risk Score for Risk Prediction in Patients With Acute Coronary Syndromes.GRACE 风险评分在急性冠状动脉综合征患者风险预测中的修正。
JAMA Cardiol. 2023 Oct 1;8(10):946-956. doi: 10.1001/jamacardio.2023.2741.
3
Adjustment of the GRACE score by the triglyceride glucose index improves the prediction of clinical outcomes in patients with acute coronary syndrome undergoing percutaneous coronary intervention.三酰甘油葡萄糖指数对 GRACE 评分的校正可改善行经皮冠状动脉介入治疗的急性冠状动脉综合征患者临床结局的预测。
Cardiovasc Diabetol. 2022 Aug 5;21(1):145. doi: 10.1186/s12933-022-01582-w.
4
Cysteine-Rich Angiogenic Inducer 61 Improves Prognostic Accuracy of GRACE (Global Registry of Acute Coronary Events) 2.0 Risk Score in Patients With Acute Coronary Syndromes.富含半胱氨酸的血管生成诱导因子 61 可改善急性冠状动脉综合征患者 GRACE（全球急性冠状动脉事件注册）2.0 风险评分的预后准确性。
J Am Heart Assoc. 2021 Oct 19;10(20):e020488. doi: 10.1161/JAHA.120.020488. Epub 2021 Oct 8.
5
Sex-Related Differences in Patients at High Bleeding Risk Undergoing Percutaneous Coronary Intervention: A Patient-Level Pooled Analysis From 4 Postapproval Studies.经皮冠状动脉介入治疗中高出血风险患者的性别相关差异：4 项批准后研究的患者水平汇总分析。
J Am Heart Assoc. 2020 Apr 7;9(7):e014611. doi: 10.1161/JAHA.119.014611. Epub 2020 Mar 30.
6
Sex and gender in cardiovascular medicine: presentation and outcomes of acute coronary syndrome.心血管医学中的性别与性：急性冠状动脉综合征的表现与结局
Eur Heart J. 2020 Apr 1;41(13):1328-1336. doi: 10.1093/eurheartj/ehz898.
7
Outcomes of Women Compared With Men After Non-ST-Segment Elevation Acute Coronary Syndromes.女性非 ST 段抬高急性冠状动脉综合征患者的结局与男性比较。
J Am Coll Cardiol. 2019 Dec 17;74(24):3013-3022. doi: 10.1016/j.jacc.2019.09.065. Epub 2019 Dec 9.
8
Machine Learning in Medicine.医学中的机器学习
N Engl J Med. 2019 Apr 4;380(14):1347-1358. doi: 10.1056/NEJMra1814259.
9
Sex Differences in Treatments, Relative Survival, and Excess Mortality Following Acute Myocardial Infarction: National Cohort Study Using the SWEDEHEART Registry.急性心肌梗死患者治疗、相对生存率和超额死亡率的性别差异：基于 SWEDEHEART 注册研究的全国队列研究。
J Am Heart Assoc. 2017 Dec 14;6(12):e007123. doi: 10.1161/JAHA.117.007123.
10
GRACE risk score: Sex-based validity of in-hospital mortality prediction in Canadian patients with acute coronary syndrome.GRACE 风险评分：加拿大急性冠脉综合征患者院内死亡率预测的性别有效性。
Int J Cardiol. 2017 Oct 1;244:24-29. doi: 10.1016/j.ijcard.2017.06.055. Epub 2017 Jun 15.
Zotero 插件