Diabetes is one of the fastest growing disorders affecting population across the globe, where diagnosis remains as big a challenge as treatment. Will Machine Learning enable healthcare companies to develop an effective disease management solution?
Machine learning has the power to fundamentally reinvent healthcare. In a world where industries have been radically transformed by technology – we watch technology finally slowly, but steadily disrupt healthcare delivery. Ready to meet your AI doctor?
Can the use of disruptive technology and innovation in medical transportation really change lives? Let’s find out.
American health insurer Cigna must balance the benefits of machine learning with the internal challenges that arise during implementation and the external ethical implications inherent to the healthcare industry.
(Image Citation – https://www.cigna.com/guideme)
With AI and machine learning overtaking every facet of millennial industry revolution, Healthcare AI application has far-reaching potential. With advances in image recognition, improvement in robotics, Medical startups are revolutionizing the diagnostic space but are we ready for such a change? Can we allow Data to become Doctor?
Machine learning can help detect Medicare fraud, but what is the tradeoff between human v.s machine?
Moving into the next phase of digitized healthcare, Epic Systems needs to continue to develop, test, and implement its machine learning capabilities.
Big Pharma Digs Deeps into their Wallets to Gain Access to Flatiron Health’s Machine Learning Technology, but will it be worth the price tag?
US health care payers lose billions of dollars per year to insurance fraud, waste, and abuse. Payers turn to machine learning to revolutionize outdated manual review processes and improve the bottom line.
Can Verb Surgical use advanced robotics and machine learning to deliver high quality surgical care to the 5 billion [16] people around the world who desparately need it?
