
Explainable artificial intelligence in anesthesiology prediction models: bridging the gap from black-box algorithms to clinical decision support
<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxQMVdGdUl0Y0pZSk9MQ2hCOGNOQ0c0dmZhcTdtR0ZWc2lIU1JwT0xuVlBxOG1wQ2Q3b2lyTXR0dnpJY3JjaTZ6VkFST2xjUWg5RzA4Z1o5SzlHcGhkYkVEc2hWaE84TEJfNUJtcUpXanJvX1NVb3dQUTZWZG94NXVhQ1lzeEJ0cW9vR3hWTFBR?oc=5" target="_blank">Explainable artificial intelligence in anesthesiology prediction models: bridging the gap from black-box algorithms to clinical decision support</a>&nbsp;&nbsp;<font color="#6f6f6f">Frontiers</font>