Top

European Journal of Nuclear Medicine and Molecular Imaging

Published in:

01-12-2019 | Artificial Intelligence | Letter to the Editor

Lack of evidence and criteria to evaluate artificial intelligence and radiomics tools to be implemented in clinical settings

Authors: Qian Zhou, Yi-heng Cao, Zhi-hang Chen

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 13/2019

Excerpt

Dear Sir, …

Sollini M, Antunovic L, Chiti A, Kirienko M. Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics. Eur J Nucl Med Mol Imaging. 2019. https://doi.org/10.1007/s00259-019-04372-x.

Piantadosi S. Clinical trials: a methodologic perspective. 2nd ed: Wiley; 2006.

Moon WK, Shen YW, Huang CS, Chiang LR, Chang RF. Computer-aided diagnosis for the classification of breast masses in automated whole breast ultrasound images. Ultrasound Med Biol. 2011;37:539–48.CrossRef

Li W, Huang Y, Zhuang BW, Liu GJ, Hu HT, Li X, et al. Multiparametric ultrasomics of significant liver fibrosis: a machine learning-based analysis. Eur Radiol. 2019;29:1496–506.CrossRef

Liu Y, Zhang Y, Cheng R, Liu S, Qu F, Yin X, et al. Radiomics analysis of apparent diffusion coefficient in cervical cancer: a preliminary study on histological grade evaluation. J Magn Reson Imaging. 2019;49:1–11.CrossRef

Bodduluri S, Newell JD, Hoffman EA, Reinhardt JM. Registration-based lung mechanical analysis of chronic obstructive pulmonary disease (COPD) using a supervised machine learning framework. Acad Radiol. 2013;20:527–36.CrossRef

Title: Lack of evidence and criteria to evaluate artificial intelligence and radiomics tools to be implemented in clinical settings
Authors: Qian Zhou
Yi-heng Cao
Zhi-hang Chen
Publication date: 01-12-2019
Publisher: Springer Berlin Heidelberg
Keyword: Artificial Intelligence
Published in: European Journal of Nuclear Medicine and Molecular Imaging / Issue 13/2019
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI: https://doi.org/10.1007/s00259-019-04493-3

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Lack of evidence and criteria to evaluate artificial intelligence and radiomics tools to be implemented in clinical settings

Excerpt

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Excerpt

Please log in to get access to this content

Other articles of this Issue 13/2019

Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications

Radiomic features of glucose metabolism enable prediction of outcome in mantle cell lymphoma

Engineered antibodies: new possibilities for brain PET?

AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics

Next generation research applications for hybrid PET/MR and PET/CT imaging using deep learning

Physician centred imaging interpretation is dying out — why should I be a nuclear medicine physician?