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rail [2024/04/30 16:21]
nigam [Creation and adoption of foundation models in medicine]
rail [2024/05/12 10:55] (current)
nigam
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-====== Responsible AI in Healthcare ====== 
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-Our team is focused on bringing AI into clinical use, safely, ethically and cost effectively. Our work is organized in two broad work-streams. 
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 ====== Responsible AI in Healthcare ====== ====== Responsible AI in Healthcare ======
  
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 ===== Making machine learning models clinically useful ===== ===== Making machine learning models clinically useful =====
  
-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. 
  
 {{  :model-interplay.png?400&nolink&  }} {{  :model-interplay.png?400&nolink&  }}
rail.1714519262.txt.gz · Last modified: 2024/04/30 16:21 by nigam