Search Results - "Hazen, Lindsey"

Prospective Evaluation of PI-RADS Version 2.1 for Prostate Cancer Detection and Investigation of Multiparametric MRI-derived Markers by Yilmaz, Enis C, Shih, Joanna H, Belue, Mason J, Harmon, Stephanie A, Phelps, Tim E, Garcia, Charisse, Hazen, Lindsey A, Toubaji, Antoun, Merino, Maria J, Gurram, Sandeep, Choyke, Peter L, Wood, Bradford J, Pinto, Peter A, Turkbey, Baris

“…Background Data regarding the prospective performance of Prostate Imaging Reporting and Data System (PI-RADS) version 2.1 alone and in combination with…”
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Smartphone Augmented Reality Outperforms Conventional CT Guidance for Composite Ablation Margins in Phantom Models by Lee, Katerina H., Li, Ming, Varble, Nicole, Negussie, Ayele H., Kassin, Michael T., Arrichiello, Antonio, Carrafiello, Gianpaolo, Hazen, Lindsey A., Wakim, Paul G., Li, Xiaobai, Xu, Sheng, Wood, Bradford J.

“…To develop and evaluate a smartphone augmented reality (AR) system for a large 50-mm liver tumor ablation with treatment planning for composite overlapping…”
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Ipsilateral hemigland prostate biopsy may underestimate cancer burden in patients with unilateral mpMRI-visible lesions by Phelps, Tim E., Yilmaz, Enis C., Harmon, Stephanie A., Belue, Mason J., Shih, Joanna H., Garcia, Charisse, Hazen, Lindsey A., Toubaji, Antoun, Merino, Maria J., Gurram, Sandeep, Choyke, Peter L., Wood, Bradford J., Pinto, Peter A., Turkbey, Baris

“…Purpose To evaluate the cancer detection rates of reduced-core biopsy schemes in patients with unilateral mpMRI-visible intraprostatic lesions and to analyze…”
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Smart goggles augmented reality CT-US fusion compared to conventional fusion navigation for percutaneous needle insertion by Borde, Tabea, Saccenti, Laetitia, Li, Ming, Varble, Nicole A, Hazen, Lindsey A, Kassin, Michael T, Ukeh, Ifechi N, Horton, Keith M, Delgado, Jose F, Martin, 3rd, Charles, Xu, Sheng, Pritchard, William F, Karanian, John W, Wood, Bradford J

“…Targeting accuracy determines outcomes for percutaneous needle interventions. Augmented reality (AR) in IR may improve procedural guidance and facilitate…”
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External Validation of a Previously Developed Deep Learning-based Prostate Lesion Detection Algorithm on Paired External and In-House Biparametric MRI Scans by Yilmaz, Enis C, Harmon, Stephanie A, Law, Yan Mee, Huang, Erich P, Belue, Mason J, Lin, Yue, Gelikman, David G, Ozyoruk, Kutsev B, Yang, Dong, Xu, Ziyue, Tetreault, Jesse, Xu, Daguang, Hazen, Lindsey A, Garcia, Charisse, Lay, Nathan S, Eclarinal, Philip, Toubaji, Antoun, Merino, Maria J, Wood, Bradford J, Gurram, Sandeep, Choyke, Peter L, Pinto, Peter A, Turkbey, Baris

“…Purpose To evaluate the performance of an artificial intelligence (AI) model in detecting overall and clinically significant prostate cancer (csPCa)-positive…”
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MP38-09 TRACKING MRI-INVISIBLE LESIONS DURING ACTIVE SURVEILLANCE by Nemirovsky, Daniel, Blake, Zoe, Enders, Jacob, Kenigsberg, Alexander, Mendrihatta, Neil, Rothberg, Michael, Daneshvar, Michael, Hazen, Lindsey, Garcia, Charisse, Xu, Sheng, Turkbey, Baris, Wood, Bradford, Pinto, Peter, Gurram, Sandeep

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Deep Learning‐Based T2‐Weighted MR Image Quality Assessment and Its Impact on Prostate Cancer Detection Rates by Lin, Yue, Belue, Mason J., Yilmaz, Enis C., Harmon, Stephanie A., An, Julie, Law, Yan Mee, Hazen, Lindsey, Garcia, Charisse, Merriman, Katie M., Phelps, Tim E., Lay, Nathan S., Toubaji, Antoun, Merino, Maria J., Wood, Bradford J., Gurram, Sandeep, Choyke, Peter L., Pinto, Peter A., Turkbey, Baris

“…Background Image quality evaluation of prostate MRI is important for successful implementation of MRI into localized prostate cancer diagnosis. Purpose To…”
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A Novel Magnetic Resonance Imaging/Ultrasound Fusion Prostate Biopsy Technique Using Transperineal Ultrasound: An Initial Experience by Enders, Jacob J, Pinto, Peter A, Xu, Sheng, Gomella, Patrick, Rothberg, Michael B, Noun, Jibriel, Blake, Zoe, Daneshvar, Michael, Seifabadi, Reza, Nemirovsky, Daniel, Hazen, Lindsey, Garcia, Charisse, Li, Ming, Gurram, Sandeep, Choyke, Peter L, Merino, Maria J, Toubaji, Antoun, Turkbey, Baris, Varble, Nicole, Wood, Bradford J

“…To report an initial experience with a novel, "fully" transperineal (TP) prostate fusion biopsy using an unconstrained ultrasound transducer placed on the…”
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Evaluation of a Cascaded Deep Learning-based Algorithm for Prostate Lesion Detection at Biparametric MRI by Lin, Yue, Yilmaz, Enis C, Belue, Mason J, Harmon, Stephanie A, Tetreault, Jesse, Phelps, Tim E, Merriman, Katie M, Hazen, Lindsey, Garcia, Charisse, Yang, Dong, Xu, Ziyue, Lay, Nathan S, Toubaji, Antoun, Merino, Maria J, Xu, Daguang, Law, Yan Mee, Gurram, Sandeep, Wood, Bradford J, Choyke, Peter L, Pinto, Peter A, Turkbey, Baris

“…Background Multiparametric MRI (mpMRI) improves prostate cancer (PCa) detection compared with systematic biopsy, but its interpretation is prone to interreader…”
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Evaluation of a Deep Learning-based Algorithm for Post-Radiotherapy Prostate Cancer Local Recurrence Detection Using Biparametric MRI by Yilmaz, Enis C., Harmon, Stephanie A., Belue, Mason J., Merriman, Katie M., Phelps, Tim E., Lin, Yue, Garcia, Charisse, Hazen, Lindsey, Patel, Krishnan R., Merino, Maria J., Wood, Bradford J., Choyke, Peter L., Pinto, Peter A., Citrin, Deborah E., Turkbey, Baris

“…To evaluate a biparametric MRI (bpMRI)-based artificial intelligence (AI) model for the detection of local prostate cancer (PCa) recurrence in patients with…”
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The doctor will polygraph you now: ethical concerns with AI for fact-checking patients by Anibal, James, Gunkel, Jasmine, Awan, Shaheen, Huth, Hannah, Nguyen, Hang, Le, Tram, Bélisle-Pipon, Jean-Christophe, Boyer, Micah, Hazen, Lindsey, Consortium, Bridge2AI Voice, Bensoussan, Yael, Clifton, David, Wood, Bradford

“…Artificial intelligence (AI) methods have been proposed for the prediction of social behaviors which could be reasonably understood from patient-reported…”
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Voice EHR: Introducing Multimodal Audio Data for Health by Anibal, James, Huth, Hannah, Li, Ming, Hazen, Lindsey, Daoud, Veronica, Ebedes, Dominique, Lam, Yen Minh, Nguyen, Hang, Hong, Phuc, Kleinman, Michael, Ost, Shelley, Jackson, Christopher, Sprabery, Laura, Elangovan, Cheran, Krishnaiah, Balaji, Akst, Lee, Lina, Ioan, Elyazar, Iqbal, Ekwati, Lenny, Jansen, Stefan, Nduwayezu, Richard, Garcia, Charisse, Plum, Jeffrey, Brenner, Jacqueline, Song, Miranda, Ricotta, Emily, Clifton, David, Thwaites, C. Louise, Bensoussan, Yael, Wood, Bradford

“…Artificial intelligence (AI) models trained on audio data may have the potential to rapidly perform clinical tasks, enhancing medical decision-making and…”
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