Postdeployment Monitoring and Surveillance Methods, Guidelines, and Possibilities for AI in ...
Each of these models offers a trade between the verification workload and autonomy and risk . The authors provide a deeper understanding of the ...
RSNA Journals 11
Covers: Bias & FairnessHealthcareChatbots & LLMsAI Agents & AutomationMarkets & InvestmentGovernance & Risk ManagementPrivacy & SurveillanceJobs & the EconomyHallucinations & Fabrication
Toward More Rigorous Meta-Analyses of Artificial Intelligence in Radiology - RSNA Journals
Bias and Nonindependence: Beyond the Unit of Analysis. Early meta-analyses evaluating the diagnostic performance of AI algorithms have often been ...
The Potential Expertise Paradox in AI -Assisted Radiology - RSNA Journals
Conversely, less-experienced clinicians face the distinct danger of automation bias by accepting AI findings (5). As use increases, an overreliance on ...
Cognitively Biased Prompt Effects on Large Language Model Accuracy for Radiology Board ...
“Just Accepted” papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence . This article will ...
A Taxonomy of Machine Hallucination in Radiology - RSNA Journals
Measuring the rate of machine hallucination is critical to assessing the utility and trustworthiness of generative AI deployed in radiology; ...
Rethinking Human- AI Collaboration in Radiology - RSNA Journals
In assistive workflows, inadequate uncertainty quantification leads to automation bias and neglect. When AI systems present suggestions without ...
Quantifying the Privacy-Utility Trade-off in Medical Imaging AI | Radiology - RSNA Journals
Given that privacy and bias risks are inherent to any modeling process involving medical data, frameworks such as the Artificial Intelligence Risk ...
Privacy & SurveillanceHealthcareBias & FairnessGovernance & Risk Management
AI Should Read Mammograms Only When Confident: A Hybrid Breast Cancer Screening ...
To evaluate the reduction in radiologists' reading workload in mammographic screening while maintaining performance by incorporating an AI model that ...
Pitfalls and Best Practices in Evaluation of AI Algorithmic Biases in Radiology
Because specific fairness metrics emphasize different characteristics of a diagnostic test, an AI model that is fair under one definition of ...
Navigating Bias and Fairness in AI | Radiology - RSNA Journals
The governance of artificial intelligence ( AI ) solutions during their development, testing, implementation, and postimplementation phases is an issue ...
Pitfalls and Best Practices in Evaluation of AI Algorithmic Biases in Radiology
Evaluation of algorithmic biases, or artificial intelligence biases , is challenging in radiology due to incomplete reporting of demographic ...