Criteria for the translation of radiomics into clinically useful tests

EP Huang, JPB O'Connor, LM McShane… - Nature reviews Clinical …, 2023 - nature.com
Computer-extracted tumour characteristics have been incorporated into medical imaging
computer-aided diagnosis (CAD) algorithms for decades. With the advent of radiomics, an …

[HTML][HTML] Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions

Y Nan, J Del Ser, S Walsh, C Schönlieb, M Roberts… - Information …, 2022 - Elsevier
Removing the bias and variance of multicentre data has always been a challenge in large
scale digital healthcare studies, which requires the ability to integrate clinical features …

FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging

K Lekadir, R Osuala, C Gallin, N Lazrak… - ar** the future of global oncology research
P Ranganathan, G Chinnaswamy, M Sengar… - The Lancet …, 2021 - thelancet.com
Low-income and middle-income countries (LMICs) have a disproportionately high burden of
cancer and cancer mortality. The unique barriers to optimum cancer care in these regions …

Impact of image quality on radiomics applications

Y Cui, FF Yin - Physics in Medicine & Biology, 2022 - iopscience.iop.org
Radiomics features extracted from medical images have been widely reported to be useful
in the patient specific outcome modeling for variety of assessment and prediction purposes …

[HTML][HTML] Radiomic feature repeatability and its impact on prognostic model generalizability: A multi-institutional study on nasopharyngeal carcinoma patients

J Zhang, SK Lam, X Teng, Z Ma, X Han, Y Zhang… - Radiotherapy and …, 2023 - Elsevier
Background and purpose To investigate the radiomic feature (RF) repeatability via
perturbation and its impact on cross-institutional prognostic model generalizability in …