Types of Articles: Clinical Applications
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Ethics and Regulations
Checklist for Artificial Intelligence in Medical Imaging (CLAIM)
Ensuring the reproducibility and validation of scientific results is essential, and RSNA has developed checklists and standards for this purpose, targeting audiences such as researchers, medical professionals, AI developers, students, and policymakers.
Clinical Applications
ECLAIR guidelines to buy
The ECLAIR guidelines provide a structured approach for evaluating commercial AI solutions in radiology, aiding stakeholders in assessing various factors like relevance, performance, usability, integration, compliance, financial viability, and support services.
Ethics and Regulations
Regulatory Bodies and Standards Organization
Regulatory bodies globally oversee the approval and usage of AI technologies in radiology to ensure safety and efficacy. Each region has its distinct regulatory frameworks and certifications. In the US, the FDA handles approvals; the EU uses CE Marking via EMA; Health Canada grants Medical Device Licenses
Education and Training
AI for Radiologists
Artificial intelligence (AI) is playing an increasingly vital role in radiology, driven by the development in machine learning and computational power. While it's not imperative for radiologists to have deep AI expertise, basic knowledge can significantly enhance their practice.