Clinical Informatics News October 24, 2019
Precision medicine has long been an elusive, yet extraordinarily important, quest for the healthcare community. We are, at long last, making steady and measurable progress. In cancer care, it’s becoming the norm to analyze tumors for known gene mutations or expressions to select treatments likely to be most effective. Even so, the application of personalized medicine, specifically in cancer care, can be expensive, invasive, and time intensive as tumors are analyzed through traditional pathology and genomics.
AI-enabled imaging presents a powerful opportunity to accelerate the identification and application of personalized treatments in ways that are often less invasive, faster, and potentially more cost effective.
In the last few years, we’ve started to see several promising applications of AI in imaging...
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