Application of machine learning based on structured medical data in gastroenterology
The era of big data has led to the necessity of artificial intelligence models to effectively
handle the vast amount of clinical data available. These data have become indispensable …
handle the vast amount of clinical data available. These data have become indispensable …
[HTML][HTML] Interpretation of medical images using artificial intelligence: current status and future perspectives
은정공， 창석방 - The Korean journal of gastroenterology, 2023 - synapse.koreamed.org
의료영상 판독은 영상의학 분야의 핵심 업무이다. 최근 인공지능 (artificial intelligence, AI) 을
이용한 의료영상 판독이 급격히 증가하고 있으며 의료영상 관련 인공지능을 다양한 분야에 …
이용한 의료영상 판독이 급격히 증가하고 있으며 의료영상 관련 인공지능을 다양한 분야에 …
Deep-learning for the diagnosis of esophageal cancers and Precursor Lesions in endoscopic images: a Model Establishment and Nationwide Multicenter …
Background: Suspicion of lesions and prediction of the histology of esophageal cancers or
premalignant lesions in endoscopic images are not yet accurate. The local feature selection …
premalignant lesions in endoscopic images are not yet accurate. The local feature selection …
Impact of the volume and distribution of training datasets in the development of deep-learning models for the diagnosis of colorectal polyps in endoscopy images
Background: Establishment of an artificial intelligence model in gastrointestinal endoscopy
has no standardized dataset. The optimal volume or class distribution of training datasets …
has no standardized dataset. The optimal volume or class distribution of training datasets …
An artificial intelligence system for comprehensive pathologic outcome prediction in early gastric cancer through endoscopic image analysis (with video)
S Lee, J Jeon, J Park, YH Chang, CM Shin, MJ Oh… - Gastric Cancer, 2024 - Springer
Background Accurate prediction of pathologic results for early gastric cancer (EGC) based
on endoscopic findings is essential in deciding between endoscopic and surgical resection …
on endoscopic findings is essential in deciding between endoscopic and surgical resection …
Computer‐aided diagnosis in real‐time endoscopy for all stages of gastric carcinogenesis: Development and validation study
Objective Using endoscopic images, we have previously developed computer‐aided
diagnosis models to predict the histopathology of gastric neoplasms. However, no model …
diagnosis models to predict the histopathology of gastric neoplasms. However, no model …
[HTML][HTML] Clinical decision support system for all stages of gastric carcinogenesis in real-time endoscopy: model establishment and validation study
Background Our research group previously established a deep-learning–based clinical
decision support system (CDSS) for real-time endoscopy-based detection and classification …
decision support system (CDSS) for real-time endoscopy-based detection and classification …
[引用][C] Revolutionizing gastrointestinal endoscopy: the emerging role of large language models
Revolutionizing gastrointestinal endoscopy: the emerging role of large language models
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