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- Comprehensive study comparing different machine learning methods in computed tomography imaging
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- Criteria for assessing the diagnostic significance of modern methods of imaging gastrointestinal diseases in practical gastroenterology
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- Preoperative perineural invasion in rectal cancer based on deep learning radiomics stacking nomogram: A retrospective study
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- Evaluation of computer aided detection during colonoscopy among Veterans: Randomized clinical trial
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- Radiomics: Status quo and future challenges
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- Advances and horizons for artificial intelligence of endoscopic screening and surveillance of gastric and esophageal disease
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- Enhancing medical-imaging artificial intelligence through holistic use of time-tested key imaging and clinical parameters: Future insights
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- Applications of artificial intelligence in lung ultrasound: Review of deep learning methods for COVID-19 fighting
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- Artificial intelligence: Advances and new frontiers in medical imaging
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- Role of artificial intelligence in early detection and screening for pancreatic adenocarcinoma
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- Chest ultrasound in neonates: What neonatologists should know
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- Applications of artificial intelligence in common pulmonary diseases
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- Pictorial research of pancreas with artificial intelligence and simulacra in the works of Fellini
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- Application of machine learning in oral and maxillofacial surgery
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- Artificial intelligence in ophthalmology and visual sciences: Current implications and future directions
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- Current status of deep learning in abdominal image reconstruction
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- Artificial intelligence in coronary computed tomography angiography imaging
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- Application of radiomics in hepatocellular carcinoma: A review
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