Zobrazeno 1 - 10
of 319
pro vyhledávání: '"Scott J., Adams"'
Publikováno v:
Sensors, Vol 24, Iss 7, p 2368 (2024)
The aim of this paper is to investigate technological advancements made to a robotic tele-ultrasound system for musculoskeletal imaging, the MSK-TIM (Musculoskeletal Telerobotic Imaging Machine). The hardware was enhanced with a force feedback sensor
Externí odkaz:
https://doaj.org/article/a483ba986e964def8305f03399b087a8
Publikováno v:
BMC Research Notes, Vol 14, Iss 1, Pp 1-10 (2021)
Abstract Objective To develop a collision engine (haptic force feedback simulator) compatible with a 5-degrees-of-freedom (DOF) haptic wand. This has broad applications such as telerobotic ultrasound systems. Integrating force feedback into systems i
Externí odkaz:
https://doaj.org/article/5dfca24fbbf64f0db37a27bd704e9922
Publikováno v:
European Radiology Experimental, Vol 5, Iss 1, Pp 1-9 (2021)
Abstract Background Telesonography systems have been developed to overcome barriers to accessing diagnostic ultrasound for patients in rural and remote communities. However, most previous telesonography systems have been designed for performing only
Externí odkaz:
https://doaj.org/article/9dd1391f3cdb4fb8b2d022bb491faadf
Publikováno v:
International Journal of Circumpolar Health, Vol 80, Iss 1 (2021)
Ultrasound imaging is an essential component of healthcare services. This study sought to explore perceptions of access, and factors which shape access, to ultrasound imaging in two northern, remote, Indigenous communities in Canada. Using interpreti
Externí odkaz:
https://doaj.org/article/165a4b2e65b740919e4ad403c154f7e2
Autor:
Scott J, Adams, David K, Madtes, Brent, Burbridge, Josiah, Johnston, Ilya G, Goldberg, Eliot L, Siegel, Paul, Babyn, Viswam S, Nair, Michael E, Calhoun
Publikováno v:
Journal of the American College of Radiology. 20:232-242
To evaluate whether an imaging classifier for radiology practice can improve lung nodule classification and follow-up.A machine learning classifier was developed and trained using imaging data from the National Lung Screening Trial (NSLT) to produce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d5eab6c4da9ce70e311470af942dd48
https://doi.org/10.1016/j.jacr.2022.08.006
https://doi.org/10.1016/j.jacr.2022.08.006
Autor:
Scott J, Adams, Emily, Stone, David R, Baldwin, Rozemarijn, Vliegenthart, Pyng, Lee, Florian J, Fintelmann
Publikováno v:
The Lancet. 401:390-408
Randomised controlled trials, including the National Lung Screening Trial (NLST) and the NELSON trial, have shown reduced mortality with lung cancer screening with low-dose CT compared with chest radiography or no screening. Although research has pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db98562676557f9dc568af8382cc362a
https://doi.org/10.1016/s0140-6736(22)01694-4
https://doi.org/10.1016/s0140-6736(22)01694-4
Autor:
Sirwa Padash, Haron Obaid, Robert D. E. Henderson, Yaseen Padash, Scott J. Adams, Stephen F. Miller, Paul Babyn
Publikováno v:
Pediatric Radiology. 53:971-983
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecda0c2a96128015dd2d79d860e6a3cd
https://doi.org/10.1007/s00247-022-05585-3
https://doi.org/10.1007/s00247-022-05585-3
Autor:
Scott J. Adams, Erika Penz, Biaka Imeah, Brent Burbridge, Haron Obaid, Paul Babyn, Ivar Mendez
Publikováno v:
Journal of Ultrasound in Medicine. 42:109-123
Telerobotic ultrasound technology allows radiologists and sonographers to remotely provide ultrasound services in underserved areas. This study aimed to compare costs associated with using telerobotic ultrasound to provide ultrasound services in rura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b2ba932689f63cdf9cb9cc078933133
https://doi.org/10.1002/jum.16070
https://doi.org/10.1002/jum.16070
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efbf4679e6523dfd6f0cbb540a13667d
https://doi.org/10.1007/s11548-023-02862-w
https://doi.org/10.1007/s11548-023-02862-w
Publikováno v:
Pediatric Radiology. 52:1568-1580
Most artificial intelligence (AI) studies have focused primarily on adult imaging, with less attention to the unique aspects of pediatric imaging. The objectives of this study were to (1) identify all publicly available pediatric datasets and determi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0d1b0230cfff11a5930a83a7e418f6c
https://doi.org/10.1007/s00247-022-05368-w
https://doi.org/10.1007/s00247-022-05368-w