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 …

Artificial Intelligence, the Digital Surgeon: Unravelling Its Emerging Footprint in Healthcare–The Narrative Review

Z Shang, V Chauhan, K Devi, S Patil - Journal of Multidisciplinary …, 2024 - Taylor & Francis
Background Artificial Intelligence (AI) holds transformative potential for the healthcare
industry, offering innovative solutions for diagnosis, treatment planning, and improving …

Accurate and robust auto‐segmentation of head and neck organ‐at‐risks based on a novel CNN fine‐tuning workflow

S Luan, K Wu, Y Wu, B Zhu, W Wei… - Journal of Applied …, 2024 - Wiley Online Library
Purpose Obvious inconsistencies in auto‐segmentations exist among various AI software. In
this study, we have developed a novel convolutional neural network (CNN) fine‐tuning …

Mineralocorticoid promotes intestinal inflammation through receptor dependent IL17 production in ILC3s

R Zhao, L Hong, G Shi, H Ye, X Lou, X Zhou… - International …, 2024 - Elsevier
Aldosterone is a key mineralocorticoid involved in regulating the concentration of blood
electrolytes and physiological volume balance. Activation of mineralocorticoid receptor (MR) …

Vehicle-free nanotheranostic self-assembled from clinically approved dyes for cancer fluorescence imaging and photothermal/photodynamic combinational therapy

M Huang, C Xu, S Yang, Z Zhang, Z Wei, M Wu, F Xue - Pharmaceutics, 2022 - mdpi.com
Phototherapy, including photothermal therapy (PTT) and photodynamic therapy (PDT) has
attracted growing attention as a noninvasive option for cancer treatment. At present …

Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning

Z Guo, J Lan, J Wang, Z Hu, Z Wu, J Quan… - … Signal Processing and …, 2023 - Elsevier
Background: Gastric cancer is the third most common cause of cancer-related death.
Accurate preoperative prediction of lymph node metastasis (LNM) in primary gastric cancer …

Lymph node metastasis detection using artificial intelligence in T1 colorectal cancer: A comprehensive systematic review

X Yao, Z Zhou, S Mao, J Cao… - Journal of Surgical …, 2024 - Wiley Online Library
We systematically reviewed the application of artificial intelligence (AI) in predicting lymph
node metastasis (LNM) in T1 colorectal cancer (CRC). Thirteen studies with 8417 patients …

Deep Learning-Assisted Techniques for Detection and Prediction of Colorectal Cancer From Medical Images and Microbial Modality

R Kumar, A Singh, A Khamparia - Microbial Data Intelligence and …, 2024 - Springer
In the past decade, significant progress has been made in the fields of artificial intelligence,
machine learning, and deep learning (DL). These advancements have opened up wide …

The role of superior hemorrhoidal vein ectasia in the preoperative staging of rectal cancer.

NM Lucarelli, A Mirabile, N Maggialetti… - Frontiers in …, 2024 - europepmc.org
Objective The prognosis of colorectal cancer has continuously improved in recent years
thanks to continuous progress in both the therapeutic and diagnostic fields. The specific …

Prediction of Pre-Operative Local Staging and Optimising Treatment Response to Neoadjuvant Therapy in Colorectal Cancer.

S Bedrikovetski - 2022 - digital.library.adelaide.edu.au
The presence of abnormal Lymph Nodes (LNs) in patients with colorectal cancer is an
essential determinant of prognosis and guides treatment options (surgical and medical) …