Computer-aided diagnosis in predicting the invasion depth of early colorectal cancer: A systematic review and meta-analysis of diagnostic test accuracy

J Bai, K Liu, L Gao, X Zhao, S Zhu, Y Han, Z Liu - Surgical Endoscopy, 2023 - Springer
Background Endoscopic resection (ER) is widely applied to treat early colorectal cancer
(CRC). Predicting the invasion depth of early CRC is critical in determining treatment …

Application of CNN in the diagnosis for the invasion depth of gastrointestinal cancer: a systematic review and meta-analysis

R Wu, K Qin, Y Fang, Y Xu, H Zhang, W Li, X Luo… - Journal of …, 2024 - Elsevier
Background With the development of endoscopic technology, endoscopic submucosal
dissection (ESD) has been widely used in the treatment of gastrointestinal tumor. It is …

Real-time detection of laryngopharyngeal cancer using an artificial intelligence-assisted system with multimodal data

Y Li, W Gu, H Yue, G Lei, W Guo, Y Wen… - Journal of Translational …, 2023 - Springer
Background Laryngopharyngeal cancer (LPC) includes laryngeal and hypopharyngeal
cancer, whose early diagnosis can significantly improve the prognosis and quality of life of …

[HTML][HTML] Mucosal imaging in colon polyps: New advances and what the future may hold

EJ Young, A Rajandran, HL Philpott… - World Journal of …, 2022 - ncbi.nlm.nih.gov
An expanding range of advanced mucosal imaging technologies have been developed with
the goal of improving the detection and characterization of lesions in the gastrointestinal …

A deep-learning based system using multi-modal data for diagnosing gastric neoplasms in real-time (with video)

H Du, Z Dong, L Wu, Y Li, J Liu, C Luo, X Zeng, Y Deng… - Gastric Cancer, 2023 - Springer
Background White light (WL) and weak-magnifying (WM) endoscopy are both important
methods for diagnosing gastric neoplasms. This study constructed a deep-learning system …

[HTML][HTML] Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth?

JW Li, LM Wang, K Ichimasa, KW Lin, JCY Ngu… - Clinical …, 2024 - ncbi.nlm.nih.gov
The field of artificial intelligence is rapidly evolving, and there has been an interest in its use
to predict the risk of lymph node metastasis in T1 colorectal cancer. Accurately predicting …

Application of the convolution neural network in determining the depth of invasion of gastrointestinal cancer: a systematic review and meta-analysis

R Wu, K Qin, Y Fang, Y Xu, H Zhang, W Li, X Luo… - Journal of …, 2024 - jogs.org
Background With the development of endoscopic technology, endoscopic submucosal
dissection (ESD) has been widely used in the treatment of gastrointestinal tumors. It is …

Advances in artificial intelligence and computer science for computer-aided diagnosis of colorectal polyps: current status

QNE van Bokhorst, BBSL Houwen… - Endoscopy …, 2023 - thieme-connect.com
Colorectal cancer (CRC) is the third most commonly diagnosed malignancy and the second
leading cause of cancer relateddeath in the world [1]. CRC develops from precancerous …

Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions

M Brand, J Troya, A Krenzer… - United European …, 2022 - Wiley Online Library
Background The efficiency of artificial intelligence as computer‐aided detection (CADe)
systems for colorectal polyps has been demonstrated in several randomized trials. However …

[HTML][HTML] Role of the artificial intelligence in the management of T1 colorectal cancer

K Ichimasa, S Kudo, M Misawa, Y Takashina… - Digestive and Liver …, 2024 - Elsevier
Approximately 10% of submucosal invasive (T1) colorectal cancers demonstrate
extraintestinal lymph node metastasis, necessitating surgical intervention with lymph node …