Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Bardia Khosravi"'
Autor:
John P. Mickley, MD, Elizabeth S. Kaji, BA, Bardia Khosravi, MD, MPH, MHPE, Kellen L. Mulford, PhD, Michael J. Taunton, MD, Cody C. Wyles, MD
Publikováno v:
Arthroplasty Today, Vol 27, Iss , Pp 101396- (2024)
Hip and knee arthroplasty are high-volume procedures undergoing rapid growth. The large volume of procedures generates a vast amount of data available for next-generation analytics. Techniques in the field of artificial intelligence (AI) can assist i
Externí odkaz:
https://doaj.org/article/ee502c59cebc473d9a3421a8afe4ca3d
Autor:
Bardia Khosravi, Frank Li, Theo Dapamede, Pouria Rouzrokh, Cooper U. Gamble, Hari M. Trivedi, Cody C. Wyles, Andrew B. Sellergren, Saptarshi Purkayastha, Bradley J. Erickson, Judy W. Gichoya
Publikováno v:
EBioMedicine, Vol 104, Iss , Pp 105174- (2024)
Summary: Background: Chest X-rays (CXR) are essential for diagnosing a variety of conditions, but when used on new populations, model generalizability issues limit their efficacy. Generative AI, particularly denoising diffusion probabilistic models (
Externí odkaz:
https://doaj.org/article/7aad470c99b04cc6a0d62701c5eca123
Autor:
Shahriar Faghani, Rhodes G. Nicholas, Soham Patel, Francis I. Baffour, Mana Moassefi, Pouria Rouzrokh, Bardia Khosravi, Garret M. Powell, Shuai Leng, Katrina N. Glazebrook, Bradley J. Erickson, Christin A. Tiegs-Heiden
Publikováno v:
Research in Diagnostic and Interventional Imaging, Vol 9, Iss , Pp 100044- (2024)
Background: Dual-energy CT (DECT) is a non-invasive way to determine the presence of monosodium urate (MSU) crystals in the workup of gout. Color-coding distinguishes MSU from calcium following material decomposition and post-processing. Most softwar
Externí odkaz:
https://doaj.org/article/0cb6cdc5dcba4d3da14462de6f09bdbb
Autor:
Sanaz Vahdati, Bardia Khosravi, Kathryn A. Robinson, Pouria Rouzrokh, Mana Moassefi, Zeynettin Akkus, Bradley J. Erickson
Publikováno v:
Bioengineering, Vol 11, Iss 7, p 648 (2024)
Thyroid Ultrasound (US) is the primary method to evaluate thyroid nodules. Deep learning (DL) has been playing a significant role in evaluating thyroid cancer. We propose a DL-based pipeline to detect and classify thyroid nodules into benign or malig
Externí odkaz:
https://doaj.org/article/8e6f40fdd9a841d39b4979965143925d
Autor:
Amir H. Davarpanah, Afshar Ghamari Khameneh, Bardia Khosravi, Ali Mir, Hiva Saffar, Amir Reza Radmard
Publikováno v:
Insights into Imaging, Vol 12, Iss 1, Pp 1-25 (2021)
Abstract Acute bowel ischemia (ABI) can be life threatening with high mortality rate. In spite of the advances made in diagnosis and treatment of ABI, no significant change has occurred in the mortality over the past decade. ABI is potentially revers
Externí odkaz:
https://doaj.org/article/efde686725564cb99c91262438e4015c
Autor:
Majid Sorouri, Amir Kasaeian, Helia Mojtabavi, Amir Reza Radmard, Shadi Kolahdoozan, Amir Anushiravani, Bardia Khosravi, Seyed Mohammad Pourabbas, Masoud Eslahi, Azin Sirusbakht, Marjan Khodabakhshi, Fatemeh Motamedi, Fatemeh Azizi, Reza Ghanbari, Zeynab Rajabi, Ali Reza Sima, Soroush Rad, Mohammad Abdollahi
Publikováno v:
Infectious Agents and Cancer, Vol 15, Iss 1, Pp 1-11 (2020)
Abstract Background COVID-19 has caused great concern for patients with underlying medical conditions. We aimed to determine the prognosis of patients with current or previous cancer with either a PCR-confirmed COVID-19 infection or a probable diagno
Externí odkaz:
https://doaj.org/article/01a5b7732506438db75564cc4a955613
Publikováno v:
Acta Medica Iranica, Vol 59, Iss 11 (2021)
An outbreak of COVID-19 started in December 2019 in the city of Wuhan and is now rapidly spreading across the world. We report two cases of confirmed COVID-19 with pre-existing comorbidities who were discharged from the hospital with a good clinical
Externí odkaz:
https://doaj.org/article/8833d2ee7cf2409ea5ee622453779270
Autor:
Bardia Khosravi, Pouria Rouzrokh, Shahriar Faghani, Mana Moassefi, Sanaz Vahdati, Elham Mahmoudi, Hamid Chalian, Bradley J. Erickson
Publikováno v:
Diagnostics, Vol 12, Iss 10, p 2512 (2022)
Machine-learning (ML) and deep-learning (DL) algorithms are part of a group of modeling algorithms that grasp the hidden patterns in data based on a training process, enabling them to extract complex information from the input data. In the past decad
Externí odkaz:
https://doaj.org/article/0e50b7b16b21453481465182361b1101
Publikováno v:
مجله ایرانی آموزش در علوم پزشکی, Vol 18, Pp 333-344 (2018)
Introduction: One of the most important challenges in outcome based education is to understand the necessity of acquiring competences by students. The purpose of this study was to investigate students’ views and attitudes towards the introduction o
Externí odkaz:
https://doaj.org/article/81a46cbecc78416fbfe9f33354862ec3
Publikováno v:
Seminars in Roentgenology. 58:170-177