Doctors are often deluged by signals from charts, test results, and other metrics to keep track of. It can be difficult to integrate and monitor all of these data for multiple patients while making real-time treatment decisions, especially when data is documented inconsistently across hospitals.In a new pair of papers, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) explore ways for computers to help doctors make better medical decisions.
Source: Using machine learning to improve patient care | MIT News


The reality of AI is both less dramatic and more impactful than the hype. We are entering a new era of computing that will bring tremendous change. The past thirty-plus years have seen the personalization of computing hardware, with single, big machines supplanted by supercomputers in everyone’s pockets and on-demand cloud services. This technical advance has brought individuals access to services anytime, anywhere and has spurred major transformations on college and university campuses.




