[HTML][HTML] Artificial intelligence in the diagnosis and management of colorectal cancer liver metastases

G Rompianesi, F Pegoraro, CDL Ceresa… - World Journal of …, 2022 - ncbi.nlm.nih.gov
Colorectal cancer (CRC) is the third most common malignancy worldwide, with
approximately 50% of patients developing colorectal cancer liver metastasis (CRLM) during …

Early diagnosis of liver metastases from colorectal cancer through CT radiomics and formal methods: a pilot study

A Rocca, MC Brunese, A Santone, P Avella… - Journal of Clinical …, 2021 - mdpi.com
Background: Liver metastases are a leading cause of cancer-associated deaths in patients
affected by colorectal cancer (CRC). The multidisciplinary strategy to treat CRC is more …

Applications of artificial intelligence in screening, diagnosis, treatment, and prognosis of colorectal cancer

H Qiu, S Ding, J Liu, L Wang, X Wang - Current Oncology, 2022 - mdpi.com
Colorectal cancer (CRC) is one of the most common cancers worldwide. Accurate early
detection and diagnosis, comprehensive assessment of treatment response, and precise …

[HTML][HTML] Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions

A Mansur, Z Saleem, T Elhakim, D Daye - Frontiers in Oncology, 2023 - frontiersin.org
Artificial Intelligence (AI) is a branch of computer science that utilizes optimization,
probabilistic and statistical approaches to analyze and make predictions based on a vast …

Deep learningbased radiomics predicts response to chemotherapy in colorectal liver metastases

J Wei, J Cheng, D Gu, F Chai, N Hong, Y Wang… - Medical …, 2021 - Wiley Online Library
Purpose The purpose of this study was to develop and validate a deep learning (DL)based
radiomics model to predict the response to chemotherapy in colorectal liver metastases …

[HTML][HTML] Development and assessment of an individualized nomogram to predict colorectal cancer liver metastases

M Li, X Li, Y Guo, Z Miao, X Liu, S Guo… - Quantitative imaging in …, 2020 - ncbi.nlm.nih.gov
Background This article aims to develop and assess the radiomics paradigm for predicting
colorectal cancer liver metastasis (CRLM) from the primary tumor. Methods This …

Deep learningassisted magnetic resonance imaging prediction of tumor response to chemotherapy in patients with colorectal liver metastases

HB Zhu, D Xu, M Ye, L Sun, XY Zhang… - … Journal of Cancer, 2021 - Wiley Online Library
Accurate evaluation of tumor response to preoperative chemotherapy is crucial for assigning
appropriate patients with colorectal liver metastases (CRLM) to surgery or conservative …

[HTML][HTML] Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer …

A Bakrania, N Joshi, X Zhao, G Zheng, M Bhat - Pharmacological research, 2023 - Elsevier
Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …

[HTML][HTML] Application of artificial intelligence to the diagnosis and therapy of colorectal cancer

Y Wang, X He, H Nie, J Zhou, P Cao… - American journal of …, 2020 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is a relatively new branch of computer science involving many
disciplines and technologies, including robotics, speech recognition, natural language and …

Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment

V Granata, R Fusco, F De Muzio, MC Brunese… - La radiologia …, 2023 - Springer
Objective The aim of this study was the evaluation radiomics analysis efficacy performed
using computed tomography (CT) and magnetic resonance imaging in the prediction of …