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Models are primarily trained on medical textbooks and case reports but get less experience with free-form decision-making doctors learn through experience
Model directed participant to call emergency hotline that did not have enough digits to be a real phone number in one case
Sudden severe headache with neck stiffness and light sensitivity could indicate serious condition like meningitis or brain hemorrhage
Current ChatGPT models are roughly six times more likely to ask a follow up question than earlier versions
Participants chose the right course of action less than half the time
Users were no better than control group using any research method at home mainly Googling
Chatbots should ask follow up questions similarly to how doctors gather information
Mistakes appeared to be the result of user error about half the time
Users identified correct conditions about 34 percent of the time
Technology posed unique risks sometimes presenting false information or changing advice based on wording changes
A new study provided a sobering look at whether A.I. chatbots are good at providing medical advice
Medicine is messy incomplete stochastic
Researchers concluded none of the models evaluated were ready for direct patient care deployment
Health questions have become one of the most common topics users ask A.I. chatbots about in the three years since they were made publicly available
Models have passed medical licensing exams and outperformed doctors on challenging diagnostic problems
People who are too impulsive should be less so and people who are too deliberative should be less so
The best general advice is to avoid impulsive decisions and avoid feeling the need to look at every option
Combining maximizer and satisficer tendencies may be the best way to make decisions
Aristotle wrote of the golden mean in this case the right amount of deliberation
Look at all options and study decisions that will greatly impact your life