This study examines the potential of artificial intelligence for the early diagnosis of sepsis in a specific case of pyogenic sternoclavicular arthritis.
Evaluated a patient case with identified sepsis and pyogenic sternoclavicular arthritis.
Utilized ChatGPT to analyze patient diary entries for diagnostic information.
Conducted a total of ten assessments with incremental AI responses for diagnosis.
Initially, ChatGPT did not suggest sepsis in the first response but included it in all subsequent assessments.
Timely diagnosis likely occurred on day two of onset, improving clinical management.