Using machine learning to predict response to image-guided therapies for hepatocellular carcinoma

C Hsieh, A Laguna, I Ikeda, AWP Maxwell, J Chapiro… - Radiology, 2023 - pubs.rsna.org
Interventional oncology is a rapidly growing field with advances in minimally invasive image-
guided local-regional treatments for hepatocellular carcinoma (HCC), including transarterial …

[HTML][HTML] Harnessing artificial intelligence in radiology to augment population health

JZT Sim, KN Bhanu Prakash, WM Huang… - Frontiers in medical …, 2023 - frontiersin.org
This review article serves to highlight radiological services as a major cost driver for the
healthcare sector, and the potential improvements in productivity and cost savings that can …

[HTML][HTML] Quantitative analysis of artificial intelligence on liver cancer: A bibliometric analysis

M Xiong, Y Xu, Y Zhao, S He, Q Zhu, Y Wu, X Hu… - Frontiers in …, 2023 - frontiersin.org
Objective To provide the current research progress, hotspots, and emerging trends for AI in
liver cancer, we have compiled a relative comprehensive and quantitative report on the …

Radiomics: A radiological evidence-based artificial intelligence technique to facilitate personalized precision medicine in hepatocellular carcinoma

J Wei, H Jiang, Y Zhou, J Tian, FS Furtado… - Digestive and Liver …, 2023 - Elsevier
The high postoperative recurrence rates in hepatocellular carcinoma (HCC) remain a major
hurdle in its management. Appropriate staging and treatment selection may alleviate the …

[HTML][HTML] Ethiodized oil as an imaging biomarker after conventional transarterial chemoembolization

M Mendiratta-Lala, A Aslam, HX Bai, J Chapiro… - European …, 2024 - Springer
Conventional transarterial chemoembolization (cTACE) utilizing ethiodized oil as a
chemotherapy carrier has become a standard treatment for intermediate-stage …

[HTML][HTML] Efficacy and interpretability analysis of noninvasive imaging based on computed tomography in patients with hepatocellular carcinoma after initial transarterial …

Y Dai, D Liu, Y Xin, Y Li, D Wang, B He, X Zeng, J Li… - Academic …, 2023 - Elsevier
Rationale and Objectives The objective of this study is to accurately and timely assess the
efficacy of patients with hepatocellular carcinoma (HCC) after the initial transarterial …

[HTML][HTML] Multimodal deep learning for liver cancer applications: a scoping review

A Siam, AR Alsaify, B Mohammad… - Frontiers in Artificial …, 2023 - frontiersin.org
Background Hepatocellular carcinoma is a malignant neoplasm of the liver and a leading
cause of cancer-related deaths worldwide. The multimodal data combines several …

[HTML][HTML] Prediction model of no-response before the first transarterial chemoembolization for hepatocellular carcinoma: TACF score

JW Zhong, DD Nie, JL Huang, RG Luo, QH Cheng… - Discover Oncology, 2023 - Springer
Previous clinic models for patients with hepatocellular carcinoma (HCC) receiving
transarterial chemoembolization (TACE) mainly focused on the overall survival, whereas a …

[HTML][HTML] Hepatic artery chemoembolization with distal transradial access for primary hepatocellular carcinoma: a novel interventional therapy for peripheral tumors

J Li, L Xian, X Wang, X Wang, D Wang… - American Journal of …, 2023 - ncbi.nlm.nih.gov
Objective: To investigate the feasibility and safety of hepatic artery chemoembolization via
the distal transradial access (dTRA). Methods: The clinical data of 130 patients with primary …

How AI and Robotics Will Advance Interventional Radiology: Narrative Review and Future Perspectives

J Zhang, J Fang, Y Xu, G Si - Diagnostics, 2024 - mdpi.com
The rapid advancement of artificial intelligence (AI) and robotics has led to significant
progress in various medical fields including interventional radiology (IR). This review …