ChatGPT outperforms trainee doctors in respiratory disease assessments

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ChatGPT outperforms trainee doctors in respiratory disease assessments
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The chatbot ChatGPT performed better than trainee doctors in assessing complex cases of respiratory disease in areas such as cystic fibrosis, asthma and chest infections in a study presented at the European Respiratory Society (ERS) Congress in Vienna, Austria.

European Respiratory SocietySep 9 2024 The chatbot ChatGPT performed better than trainee doctors in assessing complex cases of respiratory disease in areas such as cystic fibrosis , asthma and chest infections in a study presented at the European Respiratory Society Congress in Vienna, Austria.

The study was presented by Dr. Manjith Narayanan, a consultant in paediatric pulmonology at the Royal Hospital for Children and Young People, Edinburgh and honorary senior clinical lecturer at the University of Edinburgh, UK. To investigate this, Dr Narayanan used clinical scenarios that occur frequently in paediatric respiratory medicine. The scenarios were provided by six other experts in paediatric respiratory medicine and covered topics like cystic fibrosis, asthma, sleep disordered breathing, breathlessness and chest infections. They were all scenarios where there is no obvious diagnosis, and where there is no published evidence, guidelines or expert consensus that point to a specific diagnosis or plan.

Related StoriesSolutions provided by ChatGPT version 3.5 scored an average of seven out of nine overall and were believed to be more human-like than responses from the other chatbots. Bard scored an average of six out of nine and was scored as more 'coherent' than trainee doctors, but in other respects was no better or worse than trainee doctors. Bing scored an average of four out of nine – the same as trainee doctors overall.

The researchers did not find any obvious instances of 'hallucinations' with any of the three LLMs. "Even though, in our study, we did not see any instance of hallucination by LLMs, we need to be aware of this possibility and build mitigations against this," Dr Narayanan added. Answers that were judged to be irrelevant to the context were occasionally given by Bing, Bard and the trainee doctors.

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