Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Abhilash Rakkunedeth Hareendranathan"'
Autor:
Jessica Knight, Yuyue Zhou, Christopher Keen, Abhilash Rakkunedeth Hareendranathan, Fatima Alves-Pereira, Siyavesh Ghasseminia, Stephanie Wichuk, Alan Brilz, David Kirschner, Jacob Jaremko
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Wrist trauma is common in children and generally requires radiography for exclusion of fractures, subjecting children to radiation and long wait times in the emergency department. Ultrasound (US) has potential to be a safer, faster diagnosti
Externí odkaz:
https://doaj.org/article/0a59ab081ea54dd89e5edb446aa6b964
Autor:
Roberto Vega, Cherise Kwok, Abhilash Rakkunedeth Hareendranathan, Arun Nagdev, Jacob L. Jaremko
Publikováno v:
Diagnostics, Vol 14, Iss 16, p 1719 (2024)
This work aims to evaluate the performance of a new artificial intelligence tool (ExoAI) to compute the left ventricular ejection fraction (LVEF) in echocardiograms of the apical and parasternal long axis (PLAX) views. We retrospectively gathered ech
Externí odkaz:
https://doaj.org/article/ee6cf7e8bfc8455f8db0b3812ae40114
Autor:
Siyavash Ghasseminia, Seyed Ehsan Seyed Bolouri, Sukhdeep Dulai, Sara Kernick, Cain Brockley, Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Padma Rao, Jacob L. Jaremko
Publikováno v:
Informatics in Medicine Unlocked, Vol 33, Iss , Pp 101082- (2022)
Background: Three-dimensional (3D) Ultrasonography of the hip introduces opportunities for automation by artificial intelligence (AI) to diagnose developmental dysplasia of the hip (DDH). We compared conventional clinical diagnosis and a commercial F
Externí odkaz:
https://doaj.org/article/dbfdccc968974ed7b68229495ab8f021
Autor:
Fatemeh Abdolali, Atefeh Shahroudnejad, Sepideh Amiri, Abhilash Rakkunedeth Hareendranathan, Jacob L Jaremko, Michelle Noga, Kumaradevan Punithakumar
Publikováno v:
Frontiers in Biomedical Technologies, Vol 7, Iss 4 (2020)
Thyroid cancer is common worldwide with a rapid increase in prevalence across North America in recent years. While most patients present with palpable nodules through physical examination, a large number of small and medium-sized nodules are detected
Externí odkaz:
https://doaj.org/article/46150829eb784ce590fbffd3a7629dbf
Autor:
Jack Zhang, Naveenjyote Boora, Sarah Melendez, Abhilash Rakkunedeth Hareendranathan, Jacob Jaremko
Publikováno v:
Children, Vol 8, Iss 6, p 431 (2021)
Wrist trauma is common in children, typically requiring radiography for diagnosis and treatment planning. However, many children do not have fractures and are unnecessarily exposed to radiation. Ultrasound performed at bedside could detect fractures
Externí odkaz:
https://doaj.org/article/af01b2b2ff18485bbe7afde8ade27b2c
Autor:
Jacob Jaremko, Abhilash Rakkunedeth Hareendranathan, Ehsan Seyed Bolouri, Rod Frey, Sukhdeep Dulai, Allan Bailey
Background: Developmental dysplasia of the hip (DDH) is a common cause of premature osteoarthritis. This osteoarthritis can be prevented if DDH is detected by ultrasound and treated in infancy, but universal DDH screening is generally not cost-effect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98b3ec3ea4d260d8b4aa34402d371dfe
https://doi.org/10.21203/rs.3.rs-2362849/v1
https://doi.org/10.21203/rs.3.rs-2362849/v1
Autor:
Siyavash Ghasseminia, Andrew Kean Seng LIM, Nathan D.P. Concepcion, David Kirschner, Yi Ming TEO, Sukhdeep Dulai, Myles Mabee, Sara Kernick, Cain Brockley, Siska Muljadi, Pavel Singh, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Dornoosh Zonoobi, Kumaradevan Punithakumar, Jacob L. Jaremko
Publikováno v:
Journal of pediatric orthopedics. 42(4)
Ultrasound for developmental dysplasia of the hip (DDH) is challenging for nonexperts to perform and interpret. Recording "sweep" images allows more complete hip assessment, suitable for automation by artificial intelligence (AI), but reliability has
Autor:
Abhilash Rakkunedeth Hareendranathan, Yungchan Jin, Banafshe Felfeliyan, Janet Lenore Ronsky, Bashiar Thejeel, Vanessa Quinn-Laurin, Jacob L. Jaremko
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Joint effusion is a hallmark of osteoarthritis (OA) associated with stiffness, and may relate to pain, disability, and long-term outcomes. However, it is difficult to quantify accurately. We propose a new Deep Learning (DL) approach for automatic eff
Publikováno v:
Software Impacts
The COVID-19 pandemic has accelerated the need for automatic triaging and summarization of ultrasound videos for fast access to pathologically relevant information in the Emergency Department and lowering resource requirements for telemedicine. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70d625b87849b5d2f334f278ff56e9c8
https://escholarship.org/uc/item/73d121hr
https://escholarship.org/uc/item/73d121hr
Autor:
Atefeh Shahroudnejad, Roberto Vega, Amir Forouzandeh, Sharanya Balachandran, Jacob Jaremko, Michelle Noga, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Kumaradeven Punithakumar
Publikováno v:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Thyroid cancer has a high prevalence all over the world. Accurate thyroid nodule diagnosis can lead to effective treatment and decrease the mortality rate. Ultrasound imaging is a safe, portable, and inexpensive tool for thyroid nodule monitoring. Ho