Cargando…

Diagnostic study on clinical feasibility of an AI-based diagnostic system as a second reader on mobile CT images: a preliminary result

BACKGROUND: Artificial intelligence (AI) has breathed new life into the lung nodules detection and diagnosis. However, whether the output information from AI will translate into benefits for clinical workflow or patient outcomes in a real-world setting remains unknown. This study was to demonstrate...

Descripción completa

Detalles Bibliográficos
Autores principales:	Diao, Kaiyue, Chen, Yuntian, Liu, Ying, Chen, Bo-Jiang, Li, Wan-Jiang, Zhang, Lin, Qu, Ya-Li, Zhang, Tong, Zhang, Yun, Wu, Min, Li, Kang, Song, Bin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279799/ https://www.ncbi.nlm.nih.gov/pubmed/35845492 http://dx.doi.org/10.21037/atm-22-2157

Ejemplares similares

The potential role of m6A reader YTHDF1 as diagnostic biomarker and the signaling pathways in tumorigenesis and metastasis in pan-cancer
por: Zhu, Yanan, et al.
Publicado: (2023)

Feasibility of AI-assisted compressed sensing protocols in knee MR imaging: a prospective multi-reader study
por: Wang, Qizheng, et al.
Publicado: (2023)

Diagnostic AI and Cardiac Diseases
por: Uzun Ozsahin, Dilber, et al.
Publicado: (2022)

Diagnostic Accuracy of Subtraction Coronary CT Angiography in Severely Calcified Segments: Comparison Between Readers With Different Levels of Experience
por: Li, Fang, et al.
Publicado: (2022)

Evaluation of novice reader diagnostic performance in coronary CT angiography using an advanced cardiac software package
por: Dankerl, Peter, et al.
Publicado: (2013)

Target product profile for readers of rapid diagnostic tests
por: White, Wallace, et al.
Publicado: (2023)

A preliminary examination of the diagnostic value of deep learning in hip osteoarthritis
por: Xue, Yanping, et al.
Publicado: (2017)

AI in breast screening mammography: breast screening readers' perspectives
por: de Vries, Clarisse Florence, et al.
Publicado: (2022)

A Novel Automatic Rapid Diagnostic Test Reader Platform
por: Ozkan, Haydar, et al.
Publicado: (2016)

Type 2 Endoleaks: The Diagnostic Performance of Non-Specialized Readers on Arterial and Venous Phase Multi-Slice CT Angiography
por: Nolz, Richard, et al.
Publicado: (2016)

Translational AI and Deep Learning in Diagnostic Pathology
por: Serag, Ahmed, et al.
Publicado: (2019)

Architecture and organization of a Platform for diagnostics, therapy and post-covid complications using AI and mobile monitoring
por: Hajder, Miroslaw, et al.
Publicado: (2021)

An immunoassay cassette with a handheld reader for HIV urine testing in point-of-care diagnostics
por: Yang, Wenbo, et al.
Publicado: (2020)

Correction: Type 2 Endoleaks: The Diagnostic Performance of Non-Specialized Readers on Arterial and Venous Phase Multi-Slice CT Angiography
por: Nolz, Richard, et al.
Publicado: (2016)

Optimising breast cancer screening reading: blinding the second reader to the first reader’s decisions
por: Cooper, Jennifer A., et al.
Publicado: (2021)

AI detection of mild COVID-19 pneumonia from chest CT scans
por: Yao, Jin-Cao, et al.
Publicado: (2021)

A Second Survey of Books for Backward Readers
por: Cross, Beryl
Publicado: (1963)

A systematic review and meta-analysis of diagnostic performance and physicians’ perceptions of artificial intelligence (AI)-assisted CT diagnostic technology for the classification of pulmonary nodules
por: Huang, Guo, et al.
Publicado: (2021)

Diagnostic Accuracy of AI for Opportunistic Screening of Abdominal Aortic Aneurysm in CT: A Systematic Review and Narrative Synthesis
por: Kodenko, Maria R., et al.
Publicado: (2022)

CT characteristics and diagnostic value of COVID-19 in pregnancy
por: Gong, XiaoMing, et al.
Publicado: (2020)

Can AI technologies close the diagnostic gap in tuberculosis?
por: Tzelios, Christine, et al.
Publicado: (2021)

Clinical performance of an automated reader in interpreting malaria rapid diagnostic tests in Tanzania
por: Shekalaghe, Seif, et al.
Publicado: (2013)

Diagnostic accuracy between readers for identifying electrographic seizures in critically ill adults
por: Tu, Bin, et al.
Publicado: (2017)

Statistical evaluation of reader variability in assessing the diagnostic performance of optical coherence tomography
por: Erickson-Bhatt, Sarah J., et al.
Publicado: (2020)

Comparison between CT and MRI in the Diagnostic Accuracy of Thymic Masses
por: Li, Hao-Ran, et al.
Publicado: (2019)

Quantitative analysis of chest CT imaging findings with the risk of ARDS in COVID-19 patients: a preliminary study
por: Wang, Yi, et al.
Publicado: (2020)

Stomach Virtual Non-Enhanced CT with Second-Generation, Dual-Energy CT: A Preliminary Study
por: Shi, Lei, et al.
Publicado: (2014)

Effect of Coronary Calcification Severity on Measurements and Diagnostic Performance of CT-FFR With Computational Fluid Dynamics: Results From CT-FFR CHINA Trial
por: Zhao, Na, et al.
Publicado: (2022)

Diagnostic efficacy of PET/CT in bone tumors
por: Han, Songhui, et al.
Publicado: (2019)

Diagnostic value of maternal alpha-fetoprotein variants in second-trimester biochemical screening for trisomy 21 and 18
por: Chen, Yiming, et al.
Publicado: (2022)

Strategy for improving the football teaching quality by AI and metaverse-empowered in mobile internet environment
por: Li, Hongyi, et al.
Publicado: (2022)

Clinical diagnostic value of spiral CT in invasive pulmonary fungal infection
por: Wang, Junwei, et al.
Publicado: (2019)

How AI Can Help in the Diagnostic Dilemma of Pulmonary Nodules
por: Fahmy, Dalia, et al.
Publicado: (2022)

Examining the effect of explanation on satisfaction and trust in AI diagnostic systems
por: Alam, Lamia, et al.
Publicado: (2021)

Artificial Intelligence for Medical Diagnostics—Existing and Future AI Technology!
por: Al-Antari, Mugahed A.
Publicado: (2023)

Explainable AI identifies diagnostic cells of genetic AML subtypes
por: Hehr, Matthias, et al.
Publicado: (2023)

Implementation of an FPGA based system survey and diagnostic reader with the aim to increase system dependability
por: Alsdorf, M, et al.
Publicado: (2012)

Feasibility and preliminary diagnostic results of pixel-wise quantification of regadenoson first pass cardiac magnetic resonance perfusion imaging
por: Ta, Allison D, et al.
Publicado: (2014)

Diagnostic Performance in Differentiating COVID-19 from Other Viral Pneumonias on CT Imaging: Multi-Reader Analysis Compared with an Artificial Intelligence-Based Model
por: Rizzetto, Francesco, et al.
Publicado: (2022)

Diagnostic accuracy of dual-source CT angiography and coronary risk stratification
por: Yang, Xia, et al.
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_5r9m9u0j2menpam8qguiov5jj5