Special Issue "Applications of Artificial Intelligence for the Diagnosis of Gastrointestinal Diseases"
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 1926
Interests: gastroenterology; digestive endoscopy
Interests: medical image analysis; deep learning; computer vision; machine learning; colonoscopy; gastrointestinal endoscopy; wireless capsule endoscopy; surgical data science; radiation oncology; radiation therapy; organs at risk; prostate, liver, and lung cancer; robustness, generalization, and trustworthy AI systems; transparent system; out-of-distribution detection; reproducibility
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In recent years, the development of convolutional neural networks (CNN) has achieved impressive advances within the field of machine learning, leading to an increase in the use of artificial intelligence (AI) in the field of gastrointestinal (GI) diseases. AI networks have been trained for the detection of gastrointestinal lesions, but also for their characterization, obtaining excellent results and having a high overall diagnostic accuracy. Moreover, in recent decades, a great deal of attention has been focused on the development of AI systems for application in radiology and pathology for the improvement of the diagnosis, treatment, and prognosis of many gastrointestinal diseases. Nevertheless, the real usefulness and application of AI systems in the gastroenterology field and high-quality studies comparing the performance of AI networks to health care professionals are still limited. This collection focuses on novel techniques and study reports of data analysis in the application of AI for the diagnosis of GI disease in real-time clinical settings, assessing the role of AI in daily clinical practice.
Dr. Silvia Pecere
Dr. Debesh Jha
Manuscript Submission Information
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