Navigation überspringen
Universitätsbibliothek Heidelberg
Status: Bibliographieeintrag

Verfügbarkeit
Standort: ---
Exemplare: ---
heiBIB
 Online-Ressource
Verfasst von:Qin, Zhi Zhen [VerfasserIn]   i
 Naheyan, Tasneem [VerfasserIn]   i
 Ruhwald, Morten [VerfasserIn]   i
 Denkinger, Claudia M. [VerfasserIn]   i
 Gelaw, Sifrash [VerfasserIn]   i
 Nash, Madlen [VerfasserIn]   i
 Creswell, Jacob [VerfasserIn]   i
 Kik, Sandra Vivian [VerfasserIn]   i
Titel:A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers
Verf.angabe:Zhi Zhen Qin, Tasneem Naheyan, Morten Ruhwald, Claudia M. Denkinger, Sifrash Gelaw, Madlen Nash, Jacob Creswell, Sandra Vivian Kik
E-Jahr:2021
Jahr:4 January 2021
Umfang:6 S.
Teil:volume:127
 year:2021
 month:03
 elocationid:102049
 pages:1-6
 extent:6
Fussnoten:Gesehen am 28.04.2021
Titel Quelle:Enthalten in: Tuberculosis
Ort Quelle:Edinburgh : Churchill Livingstone, 2001
Jahr Quelle:2021
Band/Heft Quelle:127(2021) vom: März, Artikel-ID 102049, Seite 1-6
ISSN Quelle:1873-281X
Abstract:Recently, the number of artificial intelligence powered computer-aided detection (CAD) products that detect tuberculosis (TB)-related abnormalities from chest X-rays (CXR) available on the market has increased. Although CXR is a relatively effective and inexpensive method for TB screening and triaging, a shortage of skilled radiologists in many high TB-burden countries limits its use. CAD technology offers a solution to this problem. Before adopting a CAD product, TB programmes need to consider not only the diagnostic accuracy but also implementation-relevant features including operational characteristics, deployment mechanism, input and machine compatibility, output format, options for integration into the legacy system, costs, data sharing and privacy aspects, and certification. A landscaping analysis was conducted to collect this information among CAD developers known to have or soon to have a TB product. The responses were reviewed and finalized with the developers, and are published on an open-access website: www.ai4hlth.org. CAD products are constantly being improved and the site will continuously be updated to account for updates and new products. This unique online resource aims to inform the TB community about available CAD tools, their features and set-up procedures, to enable TB programmes to identify the most suitable product to incorporate in interventions.
DOI:doi:10.1016/j.tube.2020.102049
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: https://doi.org/10.1016/j.tube.2020.102049
 Volltext: https://www.sciencedirect.com/science/article/pii/S147297922030216X
 DOI: https://doi.org/10.1016/j.tube.2020.102049
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Artificial intelligence
 Chest X-ray
 Computer automated detection
 Deep learning
 Diagnostic
 Tuberculosis
K10plus-PPN:1756022704
Verknüpfungen:→ Zeitschrift

Permanenter Link auf diesen Titel (bookmarkfähig):  https://katalog.ub.uni-heidelberg.de/titel/68728654   QR-Code
zum Seitenanfang