Výsledky vyhledávání - "Nora Keathley"

Akademický článek

Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays

Autor: Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)

Abstract Chest X-rays are the most commonly performed medical imaging exam, yet they are often misinterpreted by physicians. Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physician

Externí odkaz: https://doaj.org/article/8313e4581a2c4f59827727ee167903f3

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Akademický článek

Variability in firearm injury among major pediatric trauma centers across the USA

Publikováno v: Trauma Surgery & Acute Care Open, Vol 8, Iss 1 (2023)

Objectives In 2020, firearm injuries surpassed automobile collisions as the leading cause of death in US children. Annual automobile fatalities have decreased during 40 years through a multipronged approach. To develop similarly targeted public healt

Externí odkaz: https://doaj.org/article/b59910d39ed8494bbc5a46e73d874491

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Akademický článek

Reevaluation of missed lung cancer with artificial intelligence

Autor: Serge Sicular, Mehmet Alpaslan, Francis A. Ortega, Nora Keathley, Srivas Venkatesh, Rebecca M. Jones, Robert V. Lindsey

Publikováno v: Respiratory Medicine Case Reports, Vol 39, Iss , Pp 101733- (2022)

Lung cancer is often missed on chest radiographs, despite chest radiography typically being the first imaging modality in the diagnosis pathway. We present a 46 year-old male with chest pain referred for chest X-ray, and initial interpretation report

Externí odkaz: https://doaj.org/article/4a5e72b4f56c4c9ba5b5fe1df69fa674

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Deep Learning Assistance Closes the Accuracy Gap in Fracture Detection Across Clinician Types

Autor: Pamela G. Anderson, Graham L. Baum, Nora Keathley, Serge Sicular, Srivas Venkatesh, Anuj Sharma, Aaron Daluiski, Hollis Potter, Robert Hotchkiss, Robert V. Lindsey, Rebecca M. Jones

Publikováno v: Clinical orthopaedics and related research.

Missed fractures are the most common diagnostic errors in musculoskeletal imaging and can result in treatment delays and preventable morbidity. Deep learning, a subfield of artificial intelligence, can be used to accurately detect fractures by traini

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57138153be8c6bcb5bb8b33f1a59cd7e
https://pubmed.ncbi.nlm.nih.gov/36083847

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