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

Out-of-Pocket Spending for Insulin by Medicare Beneficiaries After Monthly Caps

医疗保险受益人在每月报销上限后自付的胰岛素费用

Hong, Dongzhe; Cantos, Krystal; Morgenstern, Diana; Dasgupta, Sonali; Kesselheim, Aaron S; Song, Zirui; Tong, Angela Y; Chadaram, Rohit; Potter, Danielle; Patorno, Elisabetta; Avorn, Jerry; Rome, Benjamin N

Leveraging Representation Learning for Bi-parametric Prostate MRI to Disambiguate PI-RADS 3 and Improve Biopsy Decision Strategies

利用表征学习对双参数前列腺MRI进行分析,以消除PI-RADS 3的歧义并改进活检决策策略

Umapathy, Lavanya; Johnson, Patricia M; Dutt, Tarun; Tong, Angela; Chopra, Sumit; Sodickson, Daniel K; Chandarana, Hersh

External evaluation of an open-source deep learning model for prostate cancer detection on bi-parametric MRI

对用于双参数磁共振成像前列腺癌检测的开源深度学习模型进行外部评估

Johnson, Patricia M; Tong, Angela; Ginocchio, Luke; Del Hoyo, Juan Lloret; Smereka, Paul; Harmon, Stephanie A; Turkbey, Baris; Chandarana, Hersh

Development and Deployment of a Machine Learning Model to Triage the Use of Prostate MRI (ProMT-ML) in Patients With Suspected Prostate Cancer

开发和部署机器学习模型以对疑似前列腺癌患者进行前列腺磁共振成像(MRI)检查的适用性进行分级(ProMT-ML)

Persily, Jesse; Chandarana, Hersh; Tong, Angela; Ranganath, Rajesh; Taneja, Samir; Nayan, Madhur

Artificial Intelligence in Prostate MRI: Addressing Current Limitations Through Emerging Technologies

人工智能在前列腺磁共振成像中的应用:通过新兴技术克服当前局限性

Johnson, Patricia M; Umapathy, Lavanya; Gigax, Bradley; Rossi, Juan Kochen; Tong, Angela; Bruno, Mary; Sodickson, Daniel K; Nayan, Madhur; Chandarana, Hersh

Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate MRI

利用深度学习对简化的前列腺MRI数据进行前列腺癌风险分层和扫描方案定制

Johnson, Patricia M; Dutt, Tarun; Ginocchio, Luke A; Saimbhi, Amanpreet Singh; Umapathy, Lavanya; Block, Kai Tobias; Sodickson, Daniel K; Chopra, Sumit; Tong, Angela; Chandarana, Hersh

Low incidence of significant hydrogel spacer rectal wall infiltration: results from an experienced high-volume center

水凝胶间隔物直肠壁浸润发生率低:来自经验丰富的高容量中心的结果

Woo, Sungmin; Becker, Anton S; Katz, Aaron E; Tong, Angela; Vargas, Hebert A; Byun, David J; Lischalk, Jonathan W; Haas, Jonathan A; Zelefsky, Michael J

The Impact of Low EHR-Continuity on Effect Estimates: Evidence from Two EHR-Medicare Linked Databases

低电子病历连续性对效果评估的影响:来自两个电子病历-医疗保险关联数据库的证据

Jin, Yinzhu; Tong, Angela Y; Wyss, Richard; Yang, Jie; Lin, Kueiyu Joshua

Improved prostate cancer diagnosis: upgraded prostate imaging reporting and data system (PI-RADS) scores by zoomed diffusion-weighted imaging enhance deep-learning-based computer-aided diagnosis accuracy

前列腺癌诊断水平提高:通过放大扩散加权成像技术升级前列腺影像报告和数据系统(PI-RADS)评分,可提高基于深度学习的计算机辅助诊断准确性。

Long, Haining; Hu, Lei; Wei, Liming; Dai, Lisong; Fu, Caixia; Lu, Yichen; Xu, Cancan; Hu, Zhonghua; Wang, Lei; Xu, Zhihan; Grimm, Robert; von Busch, Heinrich; Benkert, Thomas; Kamen, Ali; Lou, Bin; Huisman, Henkjan; Tong, Angela; Penzkofer, Tobias; Choi, Moon Hyung; Shabunin, Ivan; Winkel, David; Xing, Pengyi; Szolar, Dieter; Coakley, Fergus; Shea, Steven M; Szurowska, Edyta; Zhu, Wangshu; Zhao, Jungong

Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI Datasets

基于深度学习的无监督域自适应方法,通过统一模型利用多中心双参数磁共振成像数据集进行前列腺病灶检测

Li, Hao; Liu, Han; von Busch, Heinrich; Grimm, Robert; Huisman, Henkjan; Tong, Angela; Winkel, David; Penzkofer, Tobias; Shabunin, Ivan; Choi, Moon Hyung; Yang, Qingsong; Szolar, Dieter; Shea, Steven; Coakley, Fergus; Harisinghani, Mukesh; Oguz, Ipek; Comaniciu, Dorin; Kamen, Ali; Lou, Bin