Cargando…

Artificial intelligence in radiology: 100 commercially available products and their scientific evidence

OBJECTIVES: Map the current landscape of commercially available artificial intelligence (AI) software for radiology and review the availability of their scientific evidence. METHODS: We created an online overview of CE-marked AI software products for clinical radiology based on vendor-supplied produ...

Descripción completa

Detalles Bibliográficos
Autores principales:	van Leeuwen, Kicky G., Schalekamp, Steven, Rutten, Matthieu J. C. M., van Ginneken, Bram, de Rooij, Maarten
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2021
Materias:	Imaging Informatics and Artificial Intelligence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128724/ https://www.ncbi.nlm.nih.gov/pubmed/33856519 http://dx.doi.org/10.1007/s00330-021-07892-z

Ejemplares similares

How does artificial intelligence in radiology improve efficiency and health outcomes?
por: van Leeuwen, Kicky G., et al.
Publicado: (2021)

Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective
por: Schalekamp, Steven, et al.
Publicado: (2021)

Applications of artificial intelligence (AI) in diagnostic radiology: a technography study
por: Rezazade Mehrizi, Mohammad Hosein, et al.
Publicado: (2020)

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

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

Training opportunities of artificial intelligence (AI) in radiology: a systematic review
por: Schuur, Floor, 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)

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)

Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment
por: van Leeuwen, Kicky G., 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)

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)

Deep learning–assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge
por: Hosseinzadeh, Matin, et al.
Publicado: (2021)

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)

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

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

COVID-19 and vaccination impact on radiology departments provided by Dose Archiving and Communication System
por: Meyrignac, Olivier, 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)

Commercial AI solutions in detecting COVID-19 pneumonia in chest CT: not yet ready for clinical implementation?
por: Jungmann, Florian, 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 for stepwise diagnosis and monitoring of COVID-19
por: Liang, Hengrui, et al.
Publicado: (2022)

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)

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)

Guiding principles and proposed classification system for the responsible adoption of artificial intelligence in scientific writing in medicine
por: Hryciw, Brett N., et al.
Publicado: (2023)

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)

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

Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning
por: Hong, Gil-Sun, et al.
Publicado: (2023)

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

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)

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)

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)

Human- versus Artificial Intelligence
por: Korteling, J. E. (Hans)., et al.
Publicado: (2021)

Three levels at which the user's cognition can be represented in artificial intelligence
por: Liefooghe, Baptist, et al.
Publicado: (2023)

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

Diagnostic performance of an algorithm for automated collateral scoring on computed tomography angiography
por: Wolff, Lennard, et al.
Publicado: (2022)

Editorial: Artificial Intelligence and Machine Learning Applications in Plant Genomics and Genetics
por: van Dijk, Aalt D. J., et al.
Publicado: (2022)

Rare disease-based scientific annotation knowledge graph
por: Zhu, Qian, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_kqtm70o4igaqota4f5veh8942d