Current status of quality control in screening esophagogastroduodenoscopy and the emerging role of artificial intelligence
L Zhang, L Yao, Z Lu, H Yu - Digestive Endoscopy, 2024 - Wiley Online Library
Esophagogastroduodenoscopy (EGD) screening is being implemented in countries with a
high incidence of upper gastrointestinal (UGI) cancer. High‐quality EGD screening ensures …
high incidence of upper gastrointestinal (UGI) cancer. High‐quality EGD screening ensures …
Enhanced multi-class pathology lesion detection in gastric neoplasms using deep learning-based approach and validation
BS Kim, B Kim, M Cho, H Chung, JK Ryu, S Kim - Scientific Reports, 2024 - nature.com
This study developed a new convolutional neural network model to detect and classify
gastric lesions as malignant, premalignant, and benign. We used 10,181 white-light …
gastric lesions as malignant, premalignant, and benign. We used 10,181 white-light …
GC-CDSS: Personalized gastric cancer treatment recommendations system based on knowledge graph
S Li, Z Li, K Xue, X Zhou, C Ding, Y Shao… - International Journal of …, 2024 - Elsevier
Background Gastric cancer (GC) is one of the most common malignant tumors in the world,
posing a serious threat to human health. Currently, gastric cancer treatment strategies …
posing a serious threat to human health. Currently, gastric cancer treatment strategies …
[HTML][HTML] Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer
K Kobayashi, Y Takamizawa, M Miyake, S Ito… - Artificial Intelligence in …, 2024 - Elsevier
Explainability is key to enhancing the trustworthiness of artificial intelligence in medicine.
However, there exists a significant gap between physicians' expectations for model …
However, there exists a significant gap between physicians' expectations for model …
The effect of incorporating domain knowledge with deep learning in identifying benign and malignant gastric whitish lesions: A retrospective study
X Zeng, L Yang, Z Dong, D Gong, Y Li… - Journal of …, 2024 - Wiley Online Library
Abstract Background and Aim Early whitish gastric neoplasms can be easily misdiagnosed;
differential diagnosis of gastric whitish lesions remains a challenge. We aim to build a deep …
differential diagnosis of gastric whitish lesions remains a challenge. We aim to build a deep …
Artificial intelligence for gastric cancer in endoscopy: From diagnostic reasoning to market
Recognition of gastric conditions during endoscopy exams, including gastric cancer, usually
requires specialized training and a long learning curve. Besides that, the interobserver …
requires specialized training and a long learning curve. Besides that, the interobserver …
Assessing Endoscopic Response in Locally Advanced Rectal Cancer Treated with Total Neoadjuvant Therapy: Development and Validation of a Highly Accurate …
H Williams, HM Thompson, C Lee, A Rangnekar… - Annals of surgical …, 2024 - Springer
Background Rectal tumors display varying degrees of response to total neoadjuvant therapy
(TNT). We evaluated the performance of a convolutional neural network (CNN) in …
(TNT). We evaluated the performance of a convolutional neural network (CNN) in …
Deep learning classifier of locally advanced rectal cancer treatment response from endoscopy images
JT Gomez, A Rangnekar, H Williams… - arXiv preprint arXiv …, 2024 - arxiv.org
We developed a deep learning classifier of rectal cancer response (tumor vs. no-tumor) to
total neoadjuvant treatment (TNT) from endoscopic images acquired before, during, and …
total neoadjuvant treatment (TNT) from endoscopic images acquired before, during, and …