Artificial Intelligence and its ability to improve healthcare

As artificial intelligence is making its way into society, research on the consequences of the development is lagging behind. Artificial intelligence can improve our lives if we use it properly. But for this, we need to know what we can benefit from the systems and what the weaknesses are. Technology should support us, not alienate. Below follows some great examples of benefits with AI within healthcare.

AI to improve healthcare and medical diagnosis

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 a 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.”

Artificial Intelligence for diagnosing cancer

The expectations are now high among researchers that IBM’s Watson can become the bridge to improve the treatment of cancer dramatically. Dr. Ravindra Kolhe, breast and molecular pathologist, says:

“We have to change our whole behavior in looking at tumors. We are missing too much and too often treatment does not work for patients. With Watson, all oncogenes become targets.”

Basically, Watson provides more comprehensive personalized care to patients. Since Watson uses DNA and RNA from a patient’s tumor to gather evidence and analyze data in order to generate knowledge. In about 20 minutes Watson analyzing and evaluate solutions for best possible treatment.

Written by
LarsGoran Bostrom©

Sources
MIT News

EurekAlert

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