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The prediction was feasible across time frames using certain clinical features.
The authors say the findings still emphasize the importance of viewing AI tools as complementary resources when seeking medical information.
The study builds on early AI studies showing that chatbots could make diagnoses.
XGBoost was identified as the optimal model, achieving average test AUC of 0.90 before the synthetic minority oversampling technique.
Benefits include a significant reduction in mortality and a significant increase in sepsis bundle compliance.
Both specialists and generalists were 4 percentage points less accurate for diagnosis of images of dark versus light skin
Trainees and specialists rated a chatbot’s accuracy and completeness more favorably than those of their specialist counterparts.