Machine Learning and Artificial Intelligence technology is reforming most enterprises, as organizations understand that the once considered unconquerable amount of information being gathered processed, analyzed, and most importantly, used successfully. Of all the industries influenced by this, the healthcare sector has the most critical need for solutions and thus far is one of the farthest behind. It has been slow to digitize, stumbling along over cultural, regulatory, and cost obstacles.
Machine learning can be a huge advantage to healthcare, enhancing efficiencies, saving money and most importantly saving lives. CT information can be analyzed and cross-applied across patient records to see who is most at risk for X or Y disease. Hospitals can predict post-discharge outcomes to reduce re-admissions and enhance patient flow. They can make medical diagnostics quicker, more exact, and more accessible.
“In a world where humans and machines are working together in increasingly collaborative relationships, breakthroughs in the field of machine vision will potentially help us live healthier more productive lives,” said Guru Banavar, Chief Scientist, Cognitive Computing and VP at IBM Research.
In a late survey led by Silicon Valley Bank, 35 percent of healthcare leaders believe that artificial intelligence will have a major impact on healthcare beginning towards 2017, and the industry is rapidly putting its money where its mouth is.
With artificial intelligence, health systems can diminish the expenses of medical treatments by half and optimize their procedures all through the organization. Artificial intelligence can enhance healthcare delivery and patient experience, care plan adherence, health results and reduce healthcare costs.