AI Could Predict Death

AI could predict death, says a new study by the University of Nottingham

An AI could predict death. A new artificial intelligence model that employs machine learning to forecast the risk of premature death was described in a study published earlier this year in PloS One by the University of Nottingham. The algorithm used banked health information (on age and lifestyle factors) from Brits aged 40 to 69. This study comes after a collaboration between UC San Francisco, Stanford, and Google that published findings using data mining of electronic health records based on machine learning to determine the risk that a patient will die in a hospital. Both researchers sought to determine how this knowledge would assist physicians in selecting the individuals who might benefit from intervention the most.

A regulatory system for AI in medical care was requested earlier this month by the FDA, which is also investigating how AI would be utilised in healthcare. As the discussion on artificial intelligence and medicine develops, it becomes evident that we need to have strict regulations over AI's use in determining and forecasting mortality.

Pain differs, for example, albeit the impact can change depending on the gender and cognitive load of the clinician. According to one study, doctors who are black or women may be less susceptible to these biases.

One study from 2017 that examined survey data discovered no appreciable variations in end-of-life care that might be connected to race. Additionally, as a specialist in palliative care pointed out, a number of other studies have revealed that some ethnic groups choose more aggressive end-of-life care, which may be tied to a reaction to fighting against a systemically biased healthcare system. Even if there could be differences in preferences between ethnic groups, prejudice can still occur when a doctor unintentionally excludes some options or makes assumptions about the options a particular patient might like based on their ethnicity.