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

Multimodal multi-instance learning for cardiopulmonary exercise testing performance prediction

基于多模态多示例学习的心肺运动测试性能预测

Huang, Zhe; Pan, Weishen; Alishetti, Shudhanshu; Beecy, Ashley N; Liu, Zhenzhen; Gong, Albert; Shin, Saebyeol; Clerkin, Kevin J; Goldsmith, Rochelle L; Majure, David T; Kelsey, Chris; vanMaanan, David; Ruhl, Jeffrey; Tesfuzigta, Naomi; Lancet, Erica; Kumaraiah, Deepa; Sayer, Gabriel; Estrin, Deborah; Weinberger, Kilian; Uriel, Nir; Wang, Fei

Integrating trust into artificial intelligence for medicine: using diabetes as the exemplar disease

将信任融入人工智能医疗:以糖尿病为例

Shao, Mandy M; Scheideman, Agatha F; Kerr, David; Wong, Tien Y; Espinoza, Juan; Shah, Shahid N; Al-Sofiani, Mohammed E; Beecy, Ashley N; Bruno, Dieter; Healey, Elizabeth; Mathioudakis, Nestoras; Sheng, Bin; Snyder, Michael P; Tham, Yih Chung; Klonoff, David C

Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems

利用自适应系统的动态部署,重新思考医疗人工智能的临床试验

Rosenthal, Jacob T; Beecy, Ashley; Sabuncu, Mert R

Eliminating the AI digital divide by building local capacity

通过建设本地能力消除人工智能数字鸿沟

Gulamali, Freya; Kim, Jee Young; Pejavara, Kartik; Thomas, Ciera; Mathur, Varoon; Eigen, Zev; Lifson, Mark; Patel, Manesh; Shaw, Keo; Tobey, Danny; Valladares, Alexandra; Vidal, David; Augenstein, Jared; Beecy, Ashley; Bergkvist, Sofi; Burns, Michael; Draugelis, Michael; Ehrenfeld, Jesse M; Henwood, Patricia; Jagneaux, Tonya; Jeffries, Morgan; Khoury, Christopher; Liao, Frank J; Liu, Vincent X; Longhurst, Chris; Mack, Dominic; Maddox, Thomas M; McSwain, David; Miff, Steve; Miller, Corey; Murray, Sara G; Patterson, Brian W; Payne, Philip; Price Ii, W Nicholson; Rimal, Ram; Sheppard, Michael J; Singh, Karandeep; Sosseh, Abdoul; Stoll, Jennifer; Stroum, Corinne; Tarabichi, Yasir; Trujillo, Sylvia; Wiley, Ladd; Hasan, Alifia; Kpodzro, Joan S; Balu, Suresh; Sendak, Mark P

Correction: Eliminating the AI digital divide by building local capacity

更正:通过建设本地能力消除人工智能数字鸿沟

Gulamali, Freya; Kim, Jee Young; Pejavara, Kartik; Thomas, Ciera; Mathur, Varoon; Eigen, Zev; Lifson, Mark; Patel, Manesh; Shaw, Keo; Tobey, Danny; Valladares, Alexandra; Vidal, David; Augenstein, Jared; Beecy, Ashley; Bergkvist, Sofi; Burns, Michael; Draugelis, Michael; Ehrenfeld, Jesse M; Henwood, Patricia; Jagneaux, Tonya; Jeffries, Morgan; Khoury, Christopher; Liao, Frank J; Liu, Vincent X; Longhurst, Chris; Mack, Dominic; Maddox, Thomas M; McSwain, David; Miff, Steve; Miller, Corey; Murray, Sara G; Patterson, Brian W; Payne, Philip; Nicholson Price, W 2nd; Rimal, Ram; Sheppard, Michael J; Singh, Karandeep; Sosseh, Abdoul; Stoll, Jennifer; Stroum, Corinne; Tarabichi, Yasir; Trujillo, Sylvia; Wiley, Ladd; Hasan, Alifia; Kpodzro, Joan S; Balu, Suresh; Sendak, Mark P

Implementing AI models in clinical workflows: a roadmap

在临床工作流程中实施人工智能模型:路线图

Wang, Fei; Beecy, Ashley

Clinical and biochemical abnormalities in a feline model of GM2 activator deficiency

猫GM2激活剂缺乏症模型中的临床和生化异常

Beecy, Sidney J; Gross, Amanda L; Maguire, Anne S; Hoffman, Leah M K; Diffie, Elise B; Cuddon, Paul; Kell, Pamela; Jiang, Xuntian; Gray-Edwards, Heather L; Martin, Douglas R

Optimization of Ketamine/Xylazine Anesthesia in Geriatric Mice

老年小鼠氯胺酮/赛拉嗪麻醉的优化

Beecy, Sidney; Meuse, Desiree; Kizielewicz, Nicole; Beale, Corinna; Molk, Denise

Deep learning for echocardiographic assessment and risk stratification of aortic, mitral, and tricuspid regurgitation: the DELINEATE-regurgitation study

利用深度学习进行超声心动图评估和主动脉瓣、二尖瓣和三尖瓣反流的风险分层:DELINEATE-反流研究

Long, Aaron; Finer, Joshua; Hartman, Heidi; Hartzel, Dustin; Jing, Linyuan; Kelsey, Christopher; Rocha, Daniel; Ruhl, Jeffrey; vanMaanen, David; Elnabawi, Youssef; Metser, Gil; Duffy, Eamon; Mawson, Thomas; Tat, Emily; Haggerty, Christopher M; Maurer, Mathew; Einstein, Andrew J; Beecy, Ashley N; Kumaraiah, Deepa; Devereux, Richard B; Homma, Shunichi; Leon, Martin; Hahn, Rebecca T; Elias, Pierre; Poterucha, Timothy J

Detecting structural heart disease from electrocardiograms using AI

利用人工智能从心电图中检测结构性心脏病

Poterucha, Timothy J; Jing, Linyuan; Ricart, Ramon Pimentel; Adjei-Mosi, Michael; Finer, Joshua; Hartzel, Dustin; Kelsey, Christopher; Long, Aaron; Rocha, Daniel; Ruhl, Jeffrey A; vanMaanen, David; Probst, Marc A; Daniels, Brock; Joshi, Shalmali D; Tastet, Olivier; Corbin, Denis; Avram, Robert; Barrios, Joshua P; Tison, Geoffrey H; Chiu, I-Min; Ouyang, David; Volodarskiy, Alexander; Castillo, Michelle; Roedan Oliver, Francisco A; Malta, Paloma P; Ye, Siqin; Rosner, Gregg F; Dizon, Jose M; Ali, Shah R; Liu, Qi; Bradley, Corey K; Vaishnava, Prashant; Waksmonski, Carol A; DeFilippis, Ersilia M; Agarwal, Vratika; Lebehn, Mark; Kampaktsis, Polydoros N; Shames, Sofia; Beecy, Ashley N; Kumaraiah, Deepa; Homma, Shunichi; Schwartz, Allan; Hahn, Rebecca T; Leon, Martin; Einstein, Andrew J; Maurer, Mathew S; Hartman, Heidi S; Hughes, John Weston; Haggerty, Christopher M; Elias, Pierre