Search Results - "Yi, Thomas"

Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study by Jiao, Zhicheng, Choi, Ji Whae, Halsey, Kasey, Tran, Thi My Linh, Hsieh, Ben, Wang, Dongcui, Eweje, Feyisope, Wang, Robin, Chang, Ken, Wu, Jing, Collins, Scott A, Yi, Thomas Y, Delworth, Andrew T, Liu, Tao, Healey, Terrance T, Lu, Shaolei, Wang, Jianxin, Feng, Xue, Atalay, Michael K, Yang, Li, Feldman, Michael, Zhang, Paul J L, Liao, Wei-Hua, Fan, Yong, Bai, Harrison X

“…Chest x-ray is a relatively accessible, inexpensive, fast imaging modality that might be valuable in the prognostication of patients with COVID-19. We aimed to…”
Get full text

Deep learning-based classification of primary bone tumors on radiographs: A preliminary study by He, Yu, Pan, Ian, Bao, Bingting, Halsey, Kasey, Chang, Marcello, Liu, Hui, Peng, Shuping, Sebro, Ronnie A., Guan, Jing, Yi, Thomas, Delworth, Andrew T., Eweje, Feyisope, States, Lisa J., Zhang, Paul J., Zhang, Zishu, Wu, Jing, Peng, Xianjing, Bai, Harrison X.

“…To develop a deep learning model to classify primary bone tumors from preoperative radiographs and compare performance with radiologists. A total of 1356…”
Get full text

P501: Delivery of monogenic and polygenic results to participants in the Genomic Medicine at Veterans Affairs (GenoVA) study by Danowski, Morgan, Antwi, Ashley, Brunette, Charles, Harris, Elizabeth, Kulkarni, Preetika, MacIsaac, Katharine, Yi, Thomas, Lebo, Matthew, Vassy, Jason

Get full text

WHAT IS THE EPIDEMIOLOGICAL PROFILE OF ACUTE HAND INFECTIONS AT A HOSPITAL IN SAO PAULO? by Lee, Thomas Yi Teh, Nemer, Lucas Alves, Vianna, Alessandro Ayres, Abdouni, Yussef Ali, Cardoso, Fabrício Luz, da Costa, Antonio Carlos

“…To determine the epidemiological profile of patients treated at a philanthropic hospital specialized in Orthopedics and Traumatology, located in a significant…”
Get full text

ESTUDO EPIDEMIOLÓGICO DE PACIENTES COM PÉ DIABÉTICO by Guerra, Fernando Viamont, Lee, Thomas Yi Teh, Eagers, Edward Patrick Sinibaldi, Marcucci Chakkour, Marcelo, Marchi Neto, Noé de, Bergamasco, Jordanna Maria Pereira, Costa, Marco Túlio

“…Objetivo: Descrever perfil epidemiológico de pacientes com pé diabético acompanhados em um ambulatório de ortopedia. Métodos: Estudo retrospectivo que avaliou…”
Get full text

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data by Kim, Chris K., Choi, Ji Whae, Jiao, Zhicheng, Wang, Dongcui, Wu, Jing, Yi, Thomas Y., Halsey, Kasey C., Eweje, Feyisope, Tran, Thi My Linh, Liu, Chang, Wang, Robin, Sollee, John, Hsieh, Celina, Chang, Ken, Yang, Fang-Xue, Singh, Ritambhara, Ou, Jie-Lin, Huang, Raymond Y., Feng, Cai, Feldman, Michael D., Liu, Tao, Gong, Ji Sheng, Lu, Shaolei, Eickhoff, Carsten, Feng, Xue, Kamel, Ihab, Sebro, Ronnie, Atalay, Michael K., Healey, Terrance, Fan, Yong, Liao, Wei-Hua, Wang, Jianxin, Bai, Harrison X.

“…While COVID-19 diagnosis and prognosis artificial intelligence models exist, very few can be implemented for practical use given their high risk of bias. We…”
Get full text

Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging by Wang, Robin, Cai, Yeyu, Lee, Iris K., Hu, Rong, Purkayastha, Subhanik, Pan, Ian, Yi, Thomas, Tran, Thi My Linh, Lu, Shaolei, Liu, Tao, Chang, Ken, Huang, Raymond Y., Zhang, Paul J., Zhang, Zishu, Xiao, Enhua, Wu, Jing, Bai, Harrison X.

“…Objectives There currently lacks a noninvasive and accurate method to distinguish benign and malignant ovarian lesion prior to treatment. This study developed…”
Get full text

External validation of machine learning models for prediction of survival in undifferentiated pleomorphic sarcoma by Lee, Linus, Yi, Thomas, Fice, Michael, Jones, Conor, Klein, Evan, Buac, Neil, Lopez-Hisijos, Nicolas, Colman, Matthew W., Gitelis, Steven, Blank, Alan T.

“…e13551 Background: Machine learning (ML) algorithms to predict cancer survival have recently been reported for a number of sarcoma subtypes, but none have…”
Get full text

COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data by Cheng, Jianhong, Sollee, John, Hsieh, Celina, Yue, Hailin, Vandal, Nicholas, Shanahan, Justin, Choi, Ji Whae, Tran, Thi My Linh, Halsey, Kasey, Iheanacho, Franklin, Warren, James, Ahmed, Abdullah, Eickhoff, Carsten, Feldman, Michael, Mortani Barbosa, Eduardo, Kamel, Ihab, Lin, Cheng Ting, Yi, Thomas, Healey, Terrance, Zhang, Paul, Wu, Jing, Atalay, Michael, Bai, Harrison X., Jiao, Zhicheng, Wang, Jianxin

“…Objectives We aimed to develop deep learning models using longitudinal chest X-rays (CXRs) and clinical data to predict in-hospital mortality of COVID-19…”
Get full text

Neuroimaging Correlates of Brain Reserve and Associations with Delirium in Patients with Intracerebral Hemorrhage (4728) by Rex, Nathaniel, Dandapani, Hari, Zhou, Helen, Yi, Thomas, Collins, Scott, Bai, Harrison, Eloyan, Ani, Daiello, Lori, Furie, Karen, Jones, Richard, Boxerman, Jerrold, Reznik, Michael

“…Abstract only…”
Get full text

The GenoVA study: Equitable implementation of a pragmatic randomized trial of polygenic-risk scoring in primary care by Vassy, Jason L., Brunette, Charles A., Lebo, Matthew S., MacIsaac, Katharine, Yi, Thomas, Danowski, Morgan E., Alexander, Nicholas V.J., Cardellino, Mark P., Christensen, Kurt D., Gala, Manish, Green, Robert C., Harris, Elizabeth, Jones, Natalie E., Kerman, Benjamin J., Kraft, Peter, Kulkarni, Preetika, Lewis, Anna C.F., Lubitz, Steven A., Natarajan, Pradeep, Antwi, Ashley A.

“…Polygenic risk scores (PRSs) hold promise for disease risk assessment and prevention. The Genomic Medicine at Veterans Affairs (GenoVA) Study is addressing…”
Get full text

Development and external validation of a machine learning model for prediction of survival in extremity leiomyosarcoma by Yu, Austin, Lee, Linus, Yi, Thomas, Fice, Michael, Achar, Rohan K., Tepper, Sarah, Jones, Conor, Klein, Evan, Buac, Neil, Lopez-Hisijos, Nicolas, Colman, Matthew W., Gitelis, Steven, Blank, Alan T.

“…Machine learning (ML) models have been used to predict cancer survival in several sarcoma subtypes. However, none have investigated extremity leiomyosarcoma…”
Get full text

Design and pilot results from the Million Veteran Program Return Of Actionable Results (MVP-ROAR) Study by Vassy, Jason L., Brunette, Charles A., Yi, Thomas, Harrison, Alicia, Cardellino, Mark P., Assimes, Themistocles L., Christensen, Kurt D., Devineni, Poornima, Gaziano, J. Michael, Gong, Xin, Hui, Qin, Knowles, Joshua W., Muralidhar, Sumitra, Natarajan, Pradeep, Pyarajan, Saiju, Sears, Mary Gavin, Shi, Yunling, Sturm, Amy C., Whitbourne, Stacey B., Sun, Yan V., Danowski, Morgan E.

“…As a mega-biobank linked to a national healthcare system, the Million Veteran Program (MVP) can directly improve the health care of participants. To determine…”
Get full text

Perceived benefits and barriers to implementing precision preventive care: Results of a national physician survey by Vassy, Jason L, Kerman, Benjamin J, Harris, Elizabeth J, Lemke, Amy A, Clayman, Marla L, Antwi, Ashley A, MacIsaac, Katharine, Yi, Thomas, Brunette, Charles A

“…Polygenic risk scores (PRS) may improve risk-stratification in preventive care. Their clinical implementation will depend on primary care physicians' (PCPs)…”
Get full text

Ablation Therapy for Advanced Stage Non-Small Cell Lung Cancer: A National Cancer Database Study by Halsey, Kasey, Wu, Jing, Su, Chang, Hsieh, Ben, Yi, Thomas, Collins, Scott A., Kimia, Benjamin, Zhang, Paul J., Healey, Terrance, Zhang, Zishu, Bai, Harrison X.

“…To compare overall survival (OS) of ablation with no treatment for patients with advanced stage non-small cell lung cancer. Patients with clinical stage IIIB…”
Get full text

Development and testing of a database of NIH research funding of AAPM members: A report from the AAPM Working Group for the Development of a Research Database (WGDRD) by Whelan, Brendan, Moros, Eduardo G., Fahrig, Rebecca, Deye, James, Yi, Thomas, Woodward, Michael, Keall, Paul, Siewerdsen, Jeff H.

“…Purpose To produce and maintain a database of National Institutes of Health (NIH) funding of the American Association of Physicists in Medicine (AAPM) members,…”
Get full text

Correction to: COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data by Cheng, Jianhong, Sollee, John, Hsieh, Celina, Yue, Hailin, Vandal, Nicholas, Shanahan, Justin, Choi, Ji Whae, Tran, Thi My Linh, Halsey, Kasey, Iheanacho, Franklin, Warren, James, Ahmed, Abdullah, Eickhoff, Carsten, Feldman, Michael, Barbosa, Eduardo Mortani, Kamel, Ihab, Lin, Cheng Ting, Yi, Thomas, Healey, Terrance, Zhang, Paul, Wu, Jing, Atalay, Michael, Bai, Harrison X., Jiao, Zhicheng, Wang, Jianxin

Get full text

Re-evaluating the need for orthopantomography in the management of mandibular trauma: is computed tomography enough? by Suskin, Johanna A., Rao, Vinay, Crozier, Joseph W., Yi, Thomas, Benz, Elizabeth, Woo, Albert S.

“…Background Mandibular fractures are frequent indications for computed tomography (CT) and orthopantomography (OPG) scans in emergency rooms. Numerous studies…”
Get full text

Correction to: Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging by Wang, Robin, Cai, Yeyu, Lee, Iris K., Hu, Rong, Purkayastha, Subhanik, Pan, Ian, Yi, Thomas, Tran, Thi My Linh, Lu, Shaolei, Liu, Tao, Chang, Ken, Huang, Raymond Y., Zhang, Paul J., Zhang, Zishu, Xiao, Enhua, Wu, Jing, Bai, Harrison X.

“…A Correction to this paper has been published: https://doi.org/10.1007/s00330-021-07854-5…”
Get full text

Robotic drill guide positioning using known-component 3D-2D image registration by Yi, Thomas, Ramchandran, Vignesh, Siewerdsen, Jeffrey H, Uneri, Ali

“…A method for x-ray image-guided robotic instrument positioning is reported and evaluated in preclinical studies of spinal pedicle screw placement with the aim…”
Get full text