Redefining radiology: a review of artificial intelligence integration in medical imaging
R Najjar - Diagnostics, 2023 - mdpi.com
This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making
its foray into radiology, a move that is catalysing transformational shifts in the healthcare …
its foray into radiology, a move that is catalysing transformational shifts in the healthcare …
A deep look into radiomics
C Scapicchio, M Gabelloni, A Barucci, D Cioni… - La radiologia …, 2021 - Springer
Radiomics is a process that allows the extraction and analysis of quantitative data from
medical images. It is an evolving field of research with many potential applications in …
medical images. It is an evolving field of research with many potential applications in …
Federated learning for predicting clinical outcomes in patients with COVID-19
Federated learning (FL) is a method used for training artificial intelligence models with data
from multiple sources while maintaining data anonymity, thus removing many barriers to …
from multiple sources while maintaining data anonymity, thus removing many barriers to …
Application of artificial intelligence technology in oncology: Towards the establishment of precision medicine
Simple Summary Artificial intelligence (AI) technology has been advancing rapidly in recent
years and is being implemented in society. The medical field is no exception, and the clinical …
years and is being implemented in society. The medical field is no exception, and the clinical …
Continuous learning AI in radiology: implementation principles and early applications
Artificial intelligence (AI) is becoming increasingly present in radiology and health care. This
expansion is driven by the principal AI strengths: automation, accuracy, and objectivity …
expansion is driven by the principal AI strengths: automation, accuracy, and objectivity …
To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)
Artificial intelligence (AI) has made impressive progress over the past few years, including
many applications in medical imaging. Numerous commercial solutions based on AI …
many applications in medical imaging. Numerous commercial solutions based on AI …
Applications of artificial intelligence in cardiovascular imaging
M Sermesant, H Delingette, H Cochet, P Jaïs… - Nature Reviews …, 2021 - nature.com
Research into artificial intelligence (AI) has made tremendous progress over the past
decade. In particular, the AI-powered analysis of images and signals has reached human …
decade. In particular, the AI-powered analysis of images and signals has reached human …
Interpretation of radiomics features–A pictorial review
AA Ardakani, NJ Bureau, EJ Ciaccio… - Computer methods and …, 2022 - Elsevier
Radiomics is a newcomer field that has opened new windows for precision medicine. It is
related to extraction of a large number of quantitative features from medical images, which …
related to extraction of a large number of quantitative features from medical images, which …
Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors
Objective The objective was to identify barriers and facilitators to the implementation of
artificial intelligence (AI) applications in clinical radiology in The Netherlands. Materials and …
artificial intelligence (AI) applications in clinical radiology in The Netherlands. Materials and …
Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology
The COVID-19 pandemic started in Italy in February 2020 with an exponential growth that
has exceeded the number of cases reported in China. Italian radiology departments found …
has exceeded the number of cases reported in China. Italian radiology departments found …