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14 results on '"Dutta, Mudit"'

2. New-onset postoperative atrial fibrillation is associated with perioperative inflammatory response and longer hospital stay after robotic-assisted pulmonary lobectomy

Author

Fishberger, Gregory, Mhaskar, Rahul, Cobb, Jessica, Strang, Harrison E., Heide, McKenzi, Bagos-Estevez, Adriana, West, William, III, Chase, Collin B., Varadhan, Ajay, Dolorit, Maykel, Dutta, Mudit, Cool, Sarah, Weeden, Emily E., Nguyen, Diep, Garrett, Joseph R., Moodie, Carla C., Fontaine, Jacques P., Tew, Jenna R., Baldonado, Jobelle J.A.R., and Toloza, Eric M.

Published
2023
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8. Impact of Total Body Irradiation-Based Myeloablative Conditioning Regimens in Patients with Acute Lymphoblastic Leukemia Undergoing Allogeneic Hematopoietic Stem Cell Transplantation: Systematic Review and Meta-Analysis

Author

Khimani, Farhad, Dutta, Mudit, Faramand, Rawan, Nishihori, Taiga, Perez, Ariel Perez, Dean, Erin, Nieder, Michael, Perez, Lia, Mishra, Asmita, Elmariah, Hany, Davila, Marco, Ochoa, Leonel, Alsina, Melissa, Lazaryan, Aleksandr, Bejanyan, Nelli, Hansen, Doris, Jain, Michael, Locke, Frederick, Liu, Hien, Pidala, Joseph, Shah, Bijal, and Mhaskar, Rahul

Published
2021
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9. Neuroimaging in the Era of Artificial Intelligence: Current Applications

Author

Monsour, Robert, Dutta, Mudit, Mohamed, Ahmed-Zayn, Borkowski, Andrew, and Viswanadhan, Narayan A.

Subjects
Clinical Review
Abstract

BACKGROUND: Artificial intelligence (AI) in medicine has shown significant promise, particularly in neuroimaging. AI increases efficiency and reduces errors, making it a valuable resource for physicians. With the increasing amount of data processing and image interpretation required, the ability to use AI to augment and aid the radiologist could improve the quality of patient care. OBSERVATIONS: AI can predict patient wait times, which may allow more efficient patient scheduling. Additionally, AI can save time for repeat magnetic resonance neuroimaging and reduce the time spent during imaging. AI has the ability to read computed tomography, magnetic resonance imaging, and positron emission tomography with reduced or without contrast without significant loss in sensitivity for detecting lesions. Neuroimaging does raise important ethical considerations and is subject to bias. It is vital that users understand the practical and ethical considerations of the technology. CONCLUSIONS: The demonstrated applications of AI in neuroimaging are numerous and varied, and it is reasonable to assume that its implementation will increase as the technology matures. AI’s use for detecting neurologic conditions holds promise in combatting ever increasing imaging volumes and providing timely diagnoses.

Published
2022

13. Impact of TBI-Based Conditioning Regimen on Outcomes of Patients with Acute Lymphoblastic Leukemia Undergoing Allogeneic Hematopoietic Cell Transplant: Systematic Review and Meta-Analysis

Author

Dutta, Mudit, primary, Mhaskar, Rahul, additional, Elmariah, Hany, additional, Nishihori, Taiga, additional, Shah, Bijal, additional, Nieder, Michael, additional, Perez, Lia, additional, Faramand, Rawan, additional, Pidala, Joseph, additional, Bejanyan, Nelli, additional, and Khimani, Farhad, additional

Published
2019
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14. HOUT-25. PROGNOSTIC FACTORS FOR PROLONGED LENGTH OF STAY AND READMISSION FOLLOWING CRANIOTOMY FOR PRIMARY BRAIN TUMORS

Author

Tran, Nam, primary, Amer, Aboubakr, additional, Alhazaimeh, Mohammah, additional, Tran, Quan, additional, Schroering, Ashleigh, additional, Agoris, Corin, additional, Clark, Anthony, additional, Imam, Muhammad, additional, Rao, Gautam, additional, Weisman, Sydney, additional, Dutta, Mudit, additional, Dhanashekar, Anu, additional, Etame, Arnold, additional, and Sahebjam, Solmaz, additional

Published
2019
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