Artificial intelligence produces misinformation when asked to answer medical questions, but there is scope for it to be fine tuned to assist doctors, a new study has found.
They found the model incorporated biases about patients that could exacerbate health disparities and produce inaccurate answers to medical questions.
However, a version of the model developed by Google to specialise in medicine stripped out some of these negative effects and recorded a level of accuracy and bias that was closer to a group of doctors monitored.could be used to expand capacity within medicine by supporting clinicians to make decisions and access information more quickly but more development is needed before they can be used effectively.
A panel of clinicians judged that just 61.9% of the answers provided by the unspecialised model were in line with the scientific consensus, compared with 92.6% of answers produced by the medicine-focused model.The unspecialised model was much more likely to produce answers that were rated as potentially leading to harmful outcomes at 29.7% compared with 5.8% for the specialised model and 6.5% for answers generated by clinicians.
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