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 …

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 …

Federated learning for predicting clinical outcomes in patients with COVID-19

I Dayan, HR Roth, A Zhong, A Harouni, A Gentili… - Nature medicine, 2021 - nature.com
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 …

Application of artificial intelligence technology in oncology: Towards the establishment of precision medicine

R Hamamoto, K Suvarna, M Yamada, K Kobayashi… - Cancers, 2020 - mdpi.com
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 …

Continuous learning AI in radiology: implementation principles and early applications

OS Pianykh, G Langs, M Dewey, DR Enzmann… - Radiology, 2020 - pubs.rsna.org
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 …

To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)

P Omoumi, A Ducarouge, A Tournier, H Harvey… - European …, 2021 - Springer
Artificial intelligence (AI) has made impressive progress over the past few years, including
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 …

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 …

Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors

L Strohm, C Hehakaya, ER Ranschaert, WPC Boon… - European …, 2020 - Springer
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 …

Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology

E Neri, V Miele, F Coppola, R Grassi - La radiologia medica, 2020 - Springer
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 …