Radiomics: A radiological evidence-based artificial intelligence technique to facilitate personalized precision medicine in hepatocellular carcinoma
The high postoperative recurrence rates in hepatocellular carcinoma (HCC) remain a major
hurdle in its management. Appropriate staging and treatment selection may alleviate the …
hurdle in its management. Appropriate staging and treatment selection may alleviate the …
Preoperative and Prognostic Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Review Based on Artificial Intelligence
Y Jiang, K Wang, YR Wang, YJ **ang… - … in Cancer Research …, 2023 - journals.sagepub.com
Microvascular invasion of hepatocellular carcinoma is an important factor affecting tumor
recurrence after liver resection and liver transplantation. There are many ways to classify …
recurrence after liver resection and liver transplantation. There are many ways to classify …
Predicting the Efficacy of Neoadjuvant Chemotherapy for Pancreatic Cancer Using Deep Learning of Contrast-Enhanced Ultrasound Videos
Y Shao, Y Dang, Y Cheng, Y Gui, X Chen, T Chen… - Diagnostics, 2023 - mdpi.com
Contrast-enhanced ultrasound (CEUS) is a promising imaging modality in predicting the
efficacy of neoadjuvant chemotherapy for pancreatic cancer, a tumor with high mortality. In …
efficacy of neoadjuvant chemotherapy for pancreatic cancer, a tumor with high mortality. In …
[HTML][HTML] Prognostication of Hepatocellular Carcinoma Using Artificial Intelligence
Hepatocellular carcinoma (HCC) is a biologically heterogeneous tumor characterized by
varying degrees of aggressiveness. The current treatment strategy for HCC is predominantly …
varying degrees of aggressiveness. The current treatment strategy for HCC is predominantly …
Revolutionising hepatocellular carcinoma surveillance: Harnessing contrast-enhanced ultrasound and serological indicators for postoperative early recurrence …
H Tu, S Feng, L Chen, Y Huang, J Zhang, X Wu - Medicine, 2023 - journals.lww.com
This study aimed to develop a noninvasive predictive model for identifying early
postoperative recurrence of hepatocellular carcinoma (within 2 years after surgery) based …
postoperative recurrence of hepatocellular carcinoma (within 2 years after surgery) based …
[HTML][HTML] Radiological findings in non-surgical recurrent hepatocellular carcinoma: From locoregional treatments to immunotherapy
Since hepatocellular carcinoma (HCC) represents an important cause of mortality and
morbidity all over the world. Currently, it is fundamental not only to achieve a curative …
morbidity all over the world. Currently, it is fundamental not only to achieve a curative …
Artificial intelligence for contrast-enhanced ultrasound of the liver: a systematic review
JA Brooks, M Kallenbach, IP Radu, A Berzigotti… - Digestion, 2024 - karger.com
Introduction: The research field of artificial intelligence (AI) in medicine and especially in
gastroenterology is rapidly progressing with the first AI tools entering routine clinical …
gastroenterology is rapidly progressing with the first AI tools entering routine clinical …
Non-radiomics imaging (US-CEUS) features and clinical text features: correlation with microvascular invasion and tumor grading in hepatocellular carcinoma
Q Yang, J Zhou, B Luo, R Zheng, J Liao, L Tang… - Abdominal …, 2024 - Springer
Objectives To predict microvascular invasion (MVI) status and tumor grading of
hepatocellular carcinoma (HCC) by evaluating preoperative non-radiomics ultrasound and …
hepatocellular carcinoma (HCC) by evaluating preoperative non-radiomics ultrasound and …
Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma from Multi-sequence Magnetic Resonance Imaging based on Deep Fusion …
H Ma, L Wang, L Sun, S Wang, L Lu… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Recent studies have identified microvascular invasion (MVI) as the most vital independent
biomarker associated with early tumor recurrence. With advancements in medical …
biomarker associated with early tumor recurrence. With advancements in medical …
Computer Aided Diagnosis for Contrast-Enhanced Ultrasound Using Transformer Neural Network
Today, the Transformer Neural Network (TNN) architecture provides top results in many data
processing applications (text, voice, image, and video), outperforming the more traditional …
processing applications (text, voice, image, and video), outperforming the more traditional …