[HTML][HTML] Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review

AM Antoniadi, Y Du, Y Guendouz, L Wei, C Mazo… - Applied Sciences, 2021 - mdpi.com
Machine Learning and Artificial Intelligence (AI) more broadly have great immediate and
future potential for transforming almost all aspects of medicine. However, in many …

[HTML][HTML] 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 …

A guide to ComBat harmonization of imaging biomarkers in multicenter studies

F Orlhac, JJ Eertink, AS Cottereau… - Journal of Nuclear …, 2022 - Soc Nuclear Med
The impact of PET image acquisition and reconstruction parameters on SUV measurements
or radiomic feature values is widely documented. This scanner effect is detrimental to the …

[HTML][HTML] Deep learning with radiomics for disease diagnosis and treatment: challenges and potential

X Zhang, Y Zhang, G Zhang, X Qiu, W Tan, X Yin… - Frontiers in …, 2022 - frontiersin.org
The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and …

[HTML][HTML] Making radiomics more reproducible across scanner and imaging protocol variations: a review of harmonization methods

SA Mali, A Ibrahim, HC Woodruff… - Journal of personalized …, 2021 - mdpi.com
Radiomics converts medical images into mineable data via a high-throughput extraction of
quantitative features used for clinical decision support. However, these radiomic features are …

[HTML][HTML] Artificial intelligence assists precision medicine in cancer treatment

J Liao, X Li, Y Gan, S Han, P Rong, W Wang… - Frontiers in …, 2023 - frontiersin.org
Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …

[HTML][HTML] Hybrid total-body pet scanners—current status and future perspectives

V Nadig, K Herrmann, FM Mottaghy… - European journal of …, 2022 - Springer
Purpose Since the 1990s, PET has been successfully combined with MR or CT systems. In
the past years, especially PET systems have seen a trend towards an enlarged axial field of …

[HTML][HTML] Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images

I Shiri, M Amini, M Nazari, G Hajianfar, AH Avval… - Computers in biology …, 2022 - Elsevier
Objective To investigate the impact of harmonization on the performance of CT, PET, and
fused PET/CT radiomic features toward the prediction of mutations status, for epidermal …

[HTML][HTML] PET-derived radiomics and artificial intelligence in breast cancer: a systematic review

L Urso, L Manco, A Castello, L Evangelista… - International Journal of …, 2022 - mdpi.com
Breast cancer (BC) is a heterogeneous malignancy that still represents the second cause of
cancer-related death among women worldwide. Due to the heterogeneity of BC, the correct …

[HTML][HTML] Radiomics in lung diseases imaging: state-of-the-art for clinicians

AN Frix, F Cousin, T Refaee, F Bottari… - Journal of Personalized …, 2021 - mdpi.com
Artificial intelligence (AI) has increasingly been serving the field of radiology over the last 50
years. As modern medicine is evolving towards precision medicine, offering personalized …