Imaging Artificial Intelligence: A Framework for Radiologists to Address Health Equity, From the AJR Special Series on DEI

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Current Applications and Future Impact of Machine Learning in Radiology

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Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning Methods

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Machine Learning in Radiology: Applications Beyond Image Interpretation

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Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions

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Mortality Outcomes of Vertebral Augmentation (Vertebroplasty and/or Balloon Kyphoplasty) for Osteoporotic Vertebral Compression Fractures: A Systematic Review and Meta-Analysis

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Texture Analysis and Machine Learning for Detecting Myocardial Infarction in Noncontrast Low-Dose Computed Tomography

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Narrowing the Gap: Imaging Disparities in Radiology

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Racial and Ethnic Disparities in the Utilization of Thrombectomy for Acute Stroke

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Deep transfer learning for reducing health care disparities arising from biomedical data inequality

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Ethics of AI in Radiology: A Review of Ethical and Societal Implications

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Artificial intelligence in gastroenterology and hepatology: how to advance clinical practice while ensuring health equity

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The augmented radiologist: artificial intelligence in the practice of radiology

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What is health equity?

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Artificial Intelligence and Machine Learning Technologies in Cancer Care: Addressing Disparities, Bias, and Data Diversity

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Combating Structural Inequities — Diversity, Equity, and Inclusion in Clinical and Translational Research

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The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review

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Evaluation of an AI-Based Detection Software for Acute Findings in Abdominal Computed Tomography Scans

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Supervised machine learning for diagnostic classification from large-scale neuroimaging datasets

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Racial Biology and Medical Misconceptions

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First, Do No (Financial) Harm

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Machine learning “red dot”: open-source, cloud, deep convolutional neural networks in chest radiograph binary normality classification

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Health Care Disparities in Radiology—A Review of the Current Literature

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Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling study

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Cognitive biases, environmental, patient and personal factors associated with critical care decision making: A scoping review

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Addressing health disparities in the Food and Drug Administration’s artificial intelligence and machine learning regulatory framework

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Socioeconomic Disparities in the Utilization of Mechanical Thrombectomy for Acute Ischemic Stroke in US Hospitals

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The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations

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Confounders mediate AI prediction of demographics in medical imaging

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RadTranslate: An Artificial Intelligence–Powered Intervention for Urgent Imaging to Enhance Care Equity for Patients With Limited English Proficiency During the COVID-19 Pandemic

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Artificial intelligence and multidisciplinary team meetings; a communication challenge for radiologists' sense of agency and position as spider in a web?

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The Role of the ACR Data Science Institute in Advancing Health Equity in Radiology

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Health Equity: What the Neuroradiologist Needs to Know

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Research on Accelerating Application Technology of Centralized ERP System Based on HANA

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