Understanding artificial intelligence based radiology studies: What is overfitting?

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Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

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Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers

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Transfer Learning Assisted Classification and Detection of Alzheimer’s Disease Stages Using 3D MRI Scans

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Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset

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Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative Features

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Principles for evaluating the clinical implementation of novel digital healthcare devices

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Bias in artificial intelligence algorithms and recommendations for mitigation

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An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture

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