Machine learning models are on the rise. This is due to their potential for advanced predictive analytics, which is creating many new opportunities for healthcare. From models that can predict chronic ailments like heart diseases or acute diseases like infections and intestinal disorders, the capability of machine learning to predict infectious as well as non-communicable diseases is on its way to delivering considerable benefits to doctors and hospitals. This is transformative as, over the years, a large number of people have been getting diagnosed with infectious as well as non-communicable diseases which require complicated and costly treatments. These can be temporary or long term treatment, which may require hospitalization and at times re-hospitalization.

In a report titled "The 5G Business Potential," networking and Telecommunications Company Ericsson has found wearable devices and artificial intelligence will improve resource efficiency and meet consumer demands for greater convenience and freedom of choice in the healthcare sector. The report analyzed the 5G business opportunity that comes from industrial digitalization in eight key global industries. Telecomm operators will have several areas to work on, such as hospital applications – virtual reality used in medical training, telemetry and online booking systems – and real-time medical data management. The area that has the most potential for operators addressing this industry with 5G, according to the report, is patient applications used outside of traditional hospital environments, such as precision medicine, online consultations and applications to monitor health and administer medication remotely to better manage chronic ailments. Forty-two percent of decision makers in the industry prefer 5G-enabled devices because they consume less power, according to the report.