ChatGPT competing with doctors in the treatment of depression?

A recent study focused particularly on the use of ChatGPT, a conversational agent developed by OpenAI, for the management of clinical depression. The results suggest that ChatGPT "could be better than doctors" in certain situations.



The researchers behind this study explored ChatGPT's ability to make decisions about patients with depressive symptoms, compared to a group of 1,249 French general practitioners. They submitted various scenarios to ChatGPT, involving fictional patients suffering from depressive symptoms such as sadness, sleep disturbances and loss of appetite over the previous three weeks, with a diagnosis of mild to moderate depression established during an initial consultation.



The results show that ChatGPT often recommended treatment approaches consistent with clinical standards, such as psychotherapy, much more frequently than doctors. For example, for cases of mild depression, ChatGPT recommended psychotherapy "in accordance with clinical recommendations" in 97.5% of cases (for version 4), while doctors tended, at 48%, to offer treatments exclusive medication or a combination of psychotherapy and medication (32.5%).


For cases of severe depression, ChatGPT again recommended psychotherapy and medication according to clinical guidelines in a greater proportion than doctors. Additionally, ChatGPT showed greater accuracy in adjusting treatment to meet clinical guidelines, avoiding biases related to gender and socioeconomic status.



However, it is important to note that this study has some limitations. The researchers used a sample of French doctors, which may raise questions about the generalizability of the results. In addition, the study was based on first consultation scenarios for depressive symptoms, without taking into account medical history or current treatments, which does not reflect real medical practice.



Finally, ethical concerns regarding privacy and data security are important, particularly in the context of sensitive data related to mental health. As a result, the researchers emphasize that AI should never replace human clinical judgment in the diagnosis and treatment of depression.

  Frank Verain

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