Artificial intelligence has demonstrated promise in healthcare by being able to predict patients’ health trajectory based on clinical history, recommend treatments, and increase efficiencies by summarizing physician notes and automating laborious tasks.
AI tools for healthcare vary wildly in their stages of maturity and adoption, ranging from emerging to widespread, according to the US Government Accountability Office.
On the emerging end of the scale, generative AI and other machine learning algorithms hold tremendous promise to improve healthcare and administration of electronic medical records (EMRs). Using them also poses serious risks, including the inadvertent release of sensitive information and erroneous outputs.
To read this article in full, please click here
Artificial intelligence has demonstrated promise in healthcare by being able to predict patients’ health trajectory based on clinical history, recommend treatments, and increase efficiencies by summarizing physician notes and automating laborious tasks.AI tools for healthcare vary wildly in their stages of maturity and adoption, ranging from emerging to widespread, according to the US Government Accountability Office.On the emerging end of the scale, generative AI and other machine learning algorithms hold tremendous promise to improve healthcare and administration of electronic medical records (EMRs). Using them also poses serious risks, including the inadvertent release of sensitive information and erroneous outputs.To read this article in full, please click here Read More Computerworld
+ There are no comments
Add yours