日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Automated detection of giant cell arteritis from temporal artery biopsy specimens using deep learning approaches

利用深度学习方法自动检测颞动脉活检标本中的巨细胞动脉炎

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-34962-9
Desingu, Karthik; Thuro, Bradley; Dhanasekaran, Nivedhitha; Bhattaru, Abhijit; Muralidhar, Rohit; Hinkle, David M; Yanamala, Naveena
细胞生物学
发表日期：2026
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Ultrasonic Texture Analysis for Predicting Acute Myocardial Infarction

超声纹理分析在预测急性心肌梗死中的应用

期刊:Jacc-Cardiovascular Imaging
影响因子:15.2
doi:10.1016/j.jcmg.2025.06.018
Jamthikar, Ankush D; Hathaway, Quincy A; Maganti, Kameswari; Hamirani, Yasmin; Bokhari, Sabahat; Yanamala, Naveena; Sengupta, Partho P
心肌梗塞
心血管
发表日期：2025
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Cardiopulmonary Point-of-Care Ultrasonography for Hospitalist Management of Undifferentiated Dyspnea

心肺床旁超声检查在住院医师管理不明原因呼吸困难中的应用

期刊:Jama Network Open
影响因子:9.7
doi:10.1001/jamanetworkopen.2025.30677
Maganti, Kameswari; Chen, Catherine; Jamthikar, Ankush D; Parikh, Payal; Yanamala, Naveena; Sengupta, Partho P
发表日期：2025
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Machine Learning to Stratify Risk in Low-Gradient Aortic Stenosis Among Medicare Beneficiaries

利用机器学习对医疗保险受益人中低梯度主动脉瓣狭窄患者进行风险分层

期刊:Journal of the American Society of Echocardiography
影响因子:6
doi:10.1016/j.echo.2024.10.010
Dooley, Sean W; Yanamala, Naveena V K; Al-Roub, Nora; Spetko, Nicholas; Cassidy, Madeline A; Angell-James, Constance; Sengupta, Partho P; Strom, Jordan B
发表日期：2025
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Artificial Intelligence-Enabled Point-of-Care Echocardiography: Bringing Precision Imaging to the Bedside

人工智能赋能的床旁超声心动图：将精准成像带到床边

期刊:Current Atherosclerosis Reports
影响因子:5.2
doi:10.1007/s11883-025-01316-9
East, Sasha-Ann; Wang, Yanting; Yanamala, Naveena; Maganti, Kameswari; Sengupta, Partho P
发表日期：2025
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Enhancing Patient Understanding of Hospitalization and Post-Discharge Needs: The Impact of Physician-Led Verbal Communication and Teach-Back Method

提升患者对住院及出院后需求的理解：医生主导的口头沟通和复述法的影响

期刊:Journal of General Internal Medicine
影响因子:4.2
doi:10.1007/s11606-025-09510-w
Parikh, Payal; Jaisinghani, Priya; Kaloth, Srivarsha; Konakanchi, Anagha; Yanamala, Naveena; Kim, Sarang
发表日期：2025
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Bringing Precision to Pediatric Care: Explainable AI in Predicting No-Show Trends Before and During the COVID-19 Pandemic

为儿科护理带来精准化：可解释人工智能在新冠疫情前后预测爽约趋势的应用

期刊:Bioengineering-Basel
影响因子:3.8
doi:10.3390/bioengineering12030227
Hathaway, Quincy A; Yanamala, Naveena; Narumanchi, TaraChandra; Narumanchi, Janani
微生物学
新冠
发表日期：2025
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Phenotyping valvular heart diseases using the lens of unsupervised machine learning: a scoping review

利用无监督机器学习方法对瓣膜性心脏病进行表型分析：范围界定综述

期刊:
影响因子:
doi:10.1038/s44325-025-00077-3
Rosen, Max; Seetharam, Karthik; Panahon, Pamela; Yanamala, Naveena; Sengupta, Partho P; Hamirani, Yasmin S
心脏病
心血管
发表日期：2025
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Computational approaches to investigate the relationship between periodontitis and cardiovascular diseases for precision medicine

利用计算方法研究牙周炎与心血管疾病之间的关系，以促进精准医疗

期刊:Human Genomics
影响因子:4.3
doi:10.1186/s40246-024-00685-7
Duenas, Sophia; McGee, Zachary; Mhatre, Ishani; Mayilvahanan, Karthikeyan; Patel, Kush Ketan; Abdelhalim, Habiba; Jayprakash, Atharv; Wasif, Uzayr; Nwankwo, Oluchi; Degroat, William; Yanamala, Naveena; Sengupta, Partho P; Fine, Daniel; Ahmed, Zeeshan
心血管疾病
心血管
发表日期：2024
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A novel multi-task machine learning classifier for rare disease patterning using cardiac strain imaging data

一种利用心脏应变成像数据进行罕见病模式识别的新型多任务机器学习分类器

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-61201-4
Siva, Nanda K; Singh, Yashbir; Hathaway, Quincy A; Sengupta, Partho P; Yanamala, Naveena
发表日期：2024
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