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rail [2024/04/30 16:21]
nigam [Creation and adoption of foundation models in medicine] |
rail [2024/05/02 17:27] (current)
acallaha |
| ===== Making machine learning models clinically useful ===== | ===== Making machine learning models clinically useful ===== |
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| Whether a classifier or prediction [[ https://jamanetwork.com/journals/jama/article-abstract/2748179 | model is usefulness]] in guiding care depends on the interplay between the model's output, the intervention it triggers, and the intervention’s benefits and harms. Our work stemmed from the effort [[http://stanmed.stanford.edu/2018summer/artificial-intelligence-puts-humanity-health-care.html|in improving palliative care]] using machine learning. [[https://www.tinyurl.com/hai-blogs | Blog posts at HAI]] summarize our work in easily accessible manner. | Whether a classifier or prediction [[ https://jamanetwork.com/journals/jama/article-abstract/2748179 | model is useful]] in guiding care depends on the interplay between the model's output, the intervention it triggers, and the intervention’s benefits and harms. Our work stemmed from the effort [[http://stanmed.stanford.edu/2018summer/artificial-intelligence-puts-humanity-health-care.html|in improving palliative care]] using machine learning. [[https://www.tinyurl.com/hai-blogs | Blog posts at HAI]] summarize our work in easily accessible manner. |
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| {{ :model-interplay.png?400&nolink& }} | {{ :model-interplay.png?400&nolink& }} |
