Deep learning and gastric cancer: systematic review of AI-assisted endoscopy

E Klang, A Soroush, GN Nadkarni, K Sharif, A Lahat - Diagnostics, 2023 - mdpi.com
Background: Gastric cancer (GC), a significant health burden worldwide, is typically
diagnosed in the advanced stages due to its non-specific symptoms and complex …

Improving bowel preparation for colonoscopy with a smartphone application driven by artificial intelligence

Y Zhu, DF Zhang, HL Wu, PY Fu, L Feng… - NPJ Digital …, 2023 - nature.com
Optimal bowel preparation is a prerequisite for a successful colonoscopy; however, the rate
of inadequate bowel preparation remains relatively high. In this study, we establish a …

Scope of artificial intelligence in gastrointestinal oncology

H Goyal, SAA Sherazi, R Mann, Z Gandhi, A Perisetti… - Cancers, 2021 - mdpi.com
Simple Summary Gastrointestinal cancers cause over 2.8 million deaths annually
worldwide. Currently, the diagnosis of various gastrointestinal cancer mainly relies on …

Epidemiological landscape of esophageal cancer in Asia: Results from GLOBOCAN 2020

H Zhu, Z Wang, B Deng, M Mo, H Wang… - Thoracic …, 2023 - Wiley Online Library
Background Esophageal cancer (EC) is a global health problem. Asia represents a huge
burden of EC globally, and incidence and mortality vary considerably across different Asian …

Utilization of ultrasonic image characteristics combined with endoscopic detection on the basis of artificial intelligence algorithm in diagnosis of early upper …

L Wang, H Song, M Wang, H Wang… - Journal of …, 2021 - Wiley Online Library
The aim of this study was to evaluate the diagnostic value of artificial intelligence algorithm
combined with ultrasound endoscopy in early esophageal cancer and precancerous lesions …

[HTML][HTML] Real-time semantic segmentation of gastric intestinal metaplasia using a deep learning approach

V Siripoppohn, R Pittayanon, K Tiankanon… - Clinical …, 2022 - synapse.koreamed.org
Methods Investigators from Chulalongkorn University obtained 802 histological-proven GIM
images for AI model training. Four strategies were proposed to improve the model accuracy …

Evaluation of deep learning methods for early gastric cancer detection using gastroscopic images

X Su, Q Liu, X Gao, L Ma - Technology and Health Care, 2023 - content.iospress.com
BACKGROUND: A timely diagnosis of early gastric cancer (EGC) can greatly reduce the
death rate of patients. However, the manual detection of EGC is a costly and low-accuracy …

A newly developed deep learning-based system for automatic detection and classification of small bowel lesions during double-balloon enteroscopy examination

Y Zhu, X Lyu, X Tao, L Wu, A Yin, F Liao, S Hu… - BMC …, 2024 - Springer
Background Double-balloon enteroscopy (DBE) is a standard method for diagnosing and
treating small bowel disease. However, DBE may yield false-negative results due to …

A comprehensive assessment of artificial intelligence applications for cancer diagnosis

G Singh, A Kamalja, R Patil, A Karwa, A Tripathi… - Artificial Intelligence …, 2024 - Springer
Artificial intelligence (AI) is being used increasingly to detect fatal diseases such as cancer.
The potential reduction in human error, rapid diagnosis, and consistency of judgment are the …

[HTML][HTML] Toward dynamic detection of circulating tumor cells exploiting specific molecular recognition elements

R Ding, M Ye, Y Zhu, Y Zhao, Q Liu, Y Cao, J Xu - Chemosensors, 2023 - mdpi.com
Dynamic detection, as one of the core tenets in tumor diagnosis, relies on specific
recognition, rapid reaction, and significant signal output. Circulating tumor cells that carry the …