Cargando…

Applications of artificial intelligence (AI) in diagnostic radiology: a technography study

OBJECTIVES: Why is there a major gap between the promises of AI and its applications in the domain of diagnostic radiology? To answer this question, we systematically review and critically analyze the AI applications in the radiology domain. METHODS: We systematically analyzed these applications bas...

Descripción completa

Detalles Bibliográficos
Autores principales:	Rezazade Mehrizi, Mohammad Hosein, van Ooijen, Peter, Homan, Milou
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2020
Materias:	Imaging Informatics and Artificial Intelligence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979626/ https://www.ncbi.nlm.nih.gov/pubmed/32945967 http://dx.doi.org/10.1007/s00330-020-07230-9

Ejemplares similares

How do providers of artificial intelligence (AI) solutions propose and legitimize the values of their solutions for supporting diagnostic radiology workflow? A technography study in 2021
por: Mehrizi, Mohammad H. Rezazade, et al.
Publicado: (2022)

Training opportunities of artificial intelligence (AI) in radiology: a systematic review
por: Schuur, Floor, et al.
Publicado: (2021)

Radiologists in the loop: the roles of radiologists in the development of AI applications
por: Scheek, Damian, et al.
Publicado: (2021)

Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors
por: Strohm, Lea, et al.
Publicado: (2020)

Artificial intelligence in radiology: 100 commercially available products and their scientific evidence
por: van Leeuwen, Kicky G., et al.
Publicado: (2021)

How artificial intelligence improves radiological interpretation in suspected pulmonary embolism
por: Cheikh, Alexandre Ben, et al.
Publicado: (2022)

Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE)
por: Kelly, Brendan S., et al.
Publicado: (2022)

To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)
por: Omoumi, Patrick, et al.
Publicado: (2021)

An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education
por: Huisman, Merel, et al.
Publicado: (2021)

Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients
por: Mushtaq, Junaid, et al.
Publicado: (2020)

An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude
por: Huisman, Merel, et al.
Publicado: (2021)

AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study
por: Meng, Fanyang, et al.
Publicado: (2022)

Artificial intelligence in diagnostic ultrasonography
por: Dicle, Oğuz
Publicado: (2023)

Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-19 Imaging AI (ICOVAI)
por: Topff, Laurens, et al.
Publicado: (2023)

Artificial intelligence-based diagnosis of asbestosis: analysis of a database with applicants for asbestosis state aid
por: Groot Lipman, Kevin B. W., et al.
Publicado: (2022)

Artificial intelligence for stepwise diagnosis and monitoring of COVID-19
por: Liang, Hengrui, et al.
Publicado: (2022)

Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?
por: Bukowski, Mark, et al.
Publicado: (2020)

Artificial Intelligence–assisted chest X-ray assessment scheme for COVID-19
por: Rangarajan, Krithika, et al.
Publicado: (2021)

Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation
por: Baltruschat, Ivo, et al.
Publicado: (2020)

Artificial Intelligence (AI) in the Financial Sector—Potential and Public Strategies
por: Bredt, Stephan
Publicado: (2019)

The upcoming role of Artificial Intelligence (AI) for retinal and glaucomatous diseases
por: Ferro Desideri, Lorenzo, et al.
Publicado: (2022)

A comparison between manual and artificial intelligence–based automatic positioning in CT imaging for COVID-19 patients
por: Gang, Yadong, et al.
Publicado: (2021)

Dynamic 3D radiomics analysis using artificial intelligence to assess the stage of COVID-19 on CT images
por: Cai, Shengping, et al.
Publicado: (2022)

Analysis of mammograms using artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer patients: proof of concept
por: Skarping, I., et al.
Publicado: (2021)

Governing AI in Electricity Systems: Reflections on the EU Artificial Intelligence Bill
por: Niet, Irene, et al.
Publicado: (2021)

AI-assisted biparametric MRI surveillance of prostate cancer: feasibility study
por: Roest, C., et al.
Publicado: (2022)

Implementation of artificial intelligence in thoracic imaging—a what, how, and why guide from the European Society of Thoracic Imaging (ESTI)
por: Gleeson, Fergus, et al.
Publicado: (2023)

Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training
por: Rueckel, Johannes, et al.
Publicado: (2021)

Commercial AI solutions in detecting COVID-19 pneumonia in chest CT: not yet ready for clinical implementation?
por: Jungmann, Florian, et al.
Publicado: (2021)

Transformer-based structuring of free-text radiology report databases
por: Nowak, S., et al.
Publicado: (2023)

AI-SPedia: a novel ontology to evaluate the impact of research in the field of artificial intelligence
por: Maatouk, Yasser
Publicado: (2022)

Does artificial intelligence kill employment growth: the missing link of corporate AI posture
por: Bughin, Jacques
Publicado: (2023)

COVID-19 and vaccination impact on radiology departments provided by Dose Archiving and Communication System
por: Meyrignac, Olivier, et al.
Publicado: (2023)

Systematic review of research design and reporting of imaging studies applying convolutional neural networks for radiological cancer diagnosis
por: O’Shea, Robert J., et al.
Publicado: (2021)

Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time
por: Jing, Xueping, et al.
Publicado: (2022)

Investigating the impact of structured reporting on the linguistic standardization of radiology reports through natural language processing over a 10-year period
por: Vosshenrich, Jan, et al.
Publicado: (2023)

Incorporating radiomics into clinical trials: expert consensus endorsed by the European Society of Radiology on considerations for data-driven compared to biologically driven quantitative biomarkers
por: Fournier, Laure, et al.
Publicado: (2021)

Editorial: AI in Healthcare: From Data to Intelligence
por: Hulsen, Tim, et al.
Publicado: (2022)

Diagnostic medical artificial intelligence: Futuristic prospects for implementation in healthcare settings
por: Nagam, Vishruth M.
Publicado: (2023)

Editorial: Explainable artificial intelligence for critical healthcare applications
por: He, Zhe, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_pa8aqe0droe6ikkc8vaeeauen6