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blogs-and-media [2023/06/24 06:36]
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blogs-and-media [2024/05/21 10:14] (current)
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| ===== Blogs at the Human Centered AI Institute ===== | ===== Blogs at the Human Centered AI Institute ===== |
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| | - Does every model [[https://hai.stanford.edu/news/should-ai-models-be-explainable-depends|need to be explainable]]? |
| | - Do healthcare models [[https://hai.stanford.edu/news/healthcare-algorithms-dont-always-need-be-generalizable|need to be generalizable]]? |
| | - What do we do [[https://hai.stanford.edu/news/when-algorithmic-fairness-fixes-fail-case-keeping-humans-loop|when healthcare algorithmic fixes fail]]? |
| | - How do we ensure the [[https://hai.stanford.edu/news/ensuring-fairness-algorithms-predict-patient-disease-risk | Fairness of Algorithms that Predict Patient Disease Risk]]? |
| | - Policy Brief [[https://hai.stanford.edu/policy-brief-promoting-algorithmic-fairness-clinical-risk-prediction | Promoting Algorithmic Fairness in Clinical Risk Prediction]] |
| | - How can we make sure [[https://hai.stanford.edu/news/how-do-we-ensure-healthcare-ai-useful|healthcare models are useful]]? |
| | - Are medical AI tools [[https://hai.stanford.edu/news/flying-dark-hospital-ai-tools-arent-well-documented|delivering on what they promise]]? |
| | - What should healthcare executives know for [[https://hai.stanford.edu/news/deploying-ai-healthcare-separating-hype-helpful | separating the Hype from the Helpful]]? |
| | - How can [[https://hai.stanford.edu/news/how-foundation-models-can-advance-ai-healthcare|foundation models advance healthcare]]? |
| | - How shaky are the current foundations of [[https://hai.stanford.edu/news/shaky-foundations-foundation-models-healthcare|foundation models in medicine]]? |
| | - How well to large language models [[https://hai.stanford.edu/news/how-well-do-large-language-models-support-clinician-information-needs|support clinician information needs]]? |
| | - Large Language Models in Healthcare: [[https://hai.stanford.edu/news/large-language-models-healthcare-are-we-there-yet | Are We There Yet]]? |
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| - Does every model [[https://hai.stanford.edu/news/should-ai-models-be-explainable-depends | need to be explainable]]? | |
| - Do healthcare models [[https://hai.stanford.edu/news/healthcare-algorithms-dont-always-need-be-generalizable | need to be generalizable]]? | |
| - How do we make sure [[https://hai.stanford.edu/news/when-algorithmic-fairness-fixes-fail-case-keeping-humans-loop | healthcare algorithms are fair]]? | |
| - How can we make sure [[https://hai.stanford.edu/news/how-do-we-ensure-healthcare-ai-useful | healthcare models are useful]]? | |
| - Are medical AI tools [[https://hai.stanford.edu/news/flying-dark-hospital-ai-tools-arent-well-documented | delivering on what they promise]]? | |
| - What should [[https://hai.stanford.edu/news/deploying-ai-healthcare-separating-hype-helpful | healthcare executives know]]? | |
| - How can [[https://hai.stanford.edu/news/how-foundation-models-can-advance-ai-healthcare | Foundation Models advance healthcare]]? | |
| - How shaky are the current foundations of [[https://hai.stanford.edu/news/shaky-foundations-foundation-models-healthcare | foundation models in medicine]]? | |
| - How well to large language models [[https://hai.stanford.edu/news/how-well-do-large-language-models-support-clinician-information-needs | support clinician information needs]]? | |
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