{"id":56750,"date":"2020-01-14T11:10:30","date_gmt":"2020-01-14T11:10:30","guid":{"rendered":"https:\/\/www.alj.com\/?post_type=news&p=56750"},"modified":"2020-03-07T10:30:16","modified_gmt":"2020-03-07T10:30:16","slug":"ai-and-digital-technology-to-futureproof-the-global-healthcare-landscape","status":"publish","type":"news","link":"https:\/\/alj.com\/en\/news\/ai-and-digital-technology-to-futureproof-the-global-healthcare-landscape\/","title":{"rendered":"AI and digital technology to futureproof the global healthcare landscape"},"content":{"rendered":"

Experts at <\/span>McKinsey & Company<\/span><\/a> have found that even though people tend to live longer, have fewer accidents, are not as susceptible to acute diseases as previous generations, we are experiencing an upsurge in chronic ailments that require intensive, long-term community-based care. A recent report from the United Nations (UN)<\/a> estimates that, over the next 30 years, the global population will increase by 2 billion people, adding to today\u2019s figure of 7.7 billion, and, by the end of the century, the planet will have to sustain around 11 billion people. With a growing population and an increase in predicted life expectancy, pressure on healthcare systems around the world is mounting.<\/span><\/p>\n

The Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic)<\/a> at the Massachusetts Institute of Technology (MIT)<\/a> is using Artificial Intelligence (AI) and digital technologies to improve our response to this emerging healthcare<\/span><\/span> landscape. This marriage of machine learning with clinical and biological insights aspires to spur a global transformation in the healthcare and medical fields with the aim to save the lives of millions of people, spawn new technologies, and improve the entire healthcare industry around the globe<\/span><\/p>\n