Artificial intelligence(AI) enables machines to provide unparalleled value in a myriad of industries and applications. In recent years, researchers have harnessed artificial intelligence to analyze large-volume, unstr...Artificial intelligence(AI) enables machines to provide unparalleled value in a myriad of industries and applications. In recent years, researchers have harnessed artificial intelligence to analyze large-volume, unstructured medical data and perform clinical tasks, such as the identification of diabetic retinopathy or the diagnosis of cutaneous malignancies. Applications of artificial intelligence techniques, specifically machine learning and more recently deep learning, are beginning to emerge in gastrointestinal endoscopy. The most promising of these efforts have been in computeraided detection and computer-aided diagnosis of colorectal polyps, with recent systems demonstrating high sensitivity and accuracy even when compared to expert human endoscopists. AI has also been utilized to identify gastrointestinal bleeding, to detect areas of inflammation, and even to diagnose certain gastrointestinal infections. Future work in the field should concentrate on creating seamless integration of AI systems with current endoscopy platforms and electronic medical records, developing training modules to teach clinicians how to use AI tools, and determining the best means for regulation and approval of new AI technology.展开更多
Artificial intelligence(AI)is a quickly expanding field in gastrointestinal endoscopy.Although there are a myriad of applications of AI ranging from identification of bleeding to predicting outcomes in patients with i...Artificial intelligence(AI)is a quickly expanding field in gastrointestinal endoscopy.Although there are a myriad of applications of AI ranging from identification of bleeding to predicting outcomes in patients with inflammatory bowel disease,a great deal of research has focused on the identification and classification of gastrointestinal malignancies.Several of the initial randomized,prospective trials utilizing AI in clinical medicine have centered on polyp detection during screening colonoscopy.In addition to work focused on colorectal cancer,AI systems have also been applied to gastric,esophageal,pancreatic,and liver cancers.Despite promising results in initial studies,the generalizability of most of these AI systems have not yet been evaluated.In this article we review recent developments in the field of AI applied to gastrointestinal oncology.展开更多
文摘Artificial intelligence(AI) enables machines to provide unparalleled value in a myriad of industries and applications. In recent years, researchers have harnessed artificial intelligence to analyze large-volume, unstructured medical data and perform clinical tasks, such as the identification of diabetic retinopathy or the diagnosis of cutaneous malignancies. Applications of artificial intelligence techniques, specifically machine learning and more recently deep learning, are beginning to emerge in gastrointestinal endoscopy. The most promising of these efforts have been in computeraided detection and computer-aided diagnosis of colorectal polyps, with recent systems demonstrating high sensitivity and accuracy even when compared to expert human endoscopists. AI has also been utilized to identify gastrointestinal bleeding, to detect areas of inflammation, and even to diagnose certain gastrointestinal infections. Future work in the field should concentrate on creating seamless integration of AI systems with current endoscopy platforms and electronic medical records, developing training modules to teach clinicians how to use AI tools, and determining the best means for regulation and approval of new AI technology.
文摘Artificial intelligence(AI)is a quickly expanding field in gastrointestinal endoscopy.Although there are a myriad of applications of AI ranging from identification of bleeding to predicting outcomes in patients with inflammatory bowel disease,a great deal of research has focused on the identification and classification of gastrointestinal malignancies.Several of the initial randomized,prospective trials utilizing AI in clinical medicine have centered on polyp detection during screening colonoscopy.In addition to work focused on colorectal cancer,AI systems have also been applied to gastric,esophageal,pancreatic,and liver cancers.Despite promising results in initial studies,the generalizability of most of these AI systems have not yet been evaluated.In this article we review recent developments in the field of AI applied to gastrointestinal oncology.
