Research from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) shows promising results in exploring ways for AI to help doctors make better medical decisions. The machine learning approach is based on large amounts of data from 40 000 patients of intensive-care-units (ICU). This means analytics from past ICU cases where the data comes from practice, labs, notes and demographics aiming to support real-time diagnosis of different symptoms to improve treatments. Harini Suresh, a member of the research team, explains the benefits: “Much of the previous work in clinical decision-making has focused on outcomes such as mortality (likelihood of death), while this work predicts actionable treatments. In addition, the system is able to use a single model to predict many outcomes.” Source: MIT News
eHealth: Artificial Intelligence to support diagnosis of treatment
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