Recently, Health IT Analytics published a blog on how the healthcare industry needs to prepare for advances in artificial intelligence and machine learning.
The healthcare industry represents a particularly significant opportunity for machine learning to prove its value. The sheer volume of available medical knowledge has long since outstripped even the most intelligent clinician, requiring supercomputers just to keep up with the latest best practices and big data breakthroughs in genomics, predictive analytics, population health management, and clinical decision support.
Machine learning, natural language processing (NLP), and artificial intelligence are quickly becoming foundational components of the quest to keep ahead of the data tsunami while adhering to the most important law for robots and human healthcare practitioners alike: first, do no harm.
Continue to Health IT Analytics to read the full article.
Interested in RxDataScience's opinion on AI and machine learning? Check out our two-part blog on AI in healthcare.
