TY  - JOUR
TI  - How Reliable is ChatGPT as a Novel Consultant in Infectious Diseases and Clinical Microbiology?
AB  - Objective: The study aimed to investigate the reliability of ChatGPT’s answers to medical questions, including those sourced from patients and guide recommendations. The focus was on evaluating ChatGPT’s accuracy in responding to various types of infectious disease questions. Materials and Methods: The study was conducted using 200 questions sourced from social media, experts, and guidelines related to various infectious diseases like urinary tract infection, pneumonia, HIV, various types of hepatitis, COVID-19, skin infections, and tuberculosis. The questions were arranged for clarity and consistency by excluding repetitive or unclear ones. The answers were based on guidelines from reputable sources like the Infectious Diseases Society of America (IDSA), Centers for Disease Control and Prevention (CDC), European Association for the Study of Liver Disease (EASL) and Joint United Nations Programme on HIV/AIDS (UNAIDS) AIDSinfo. According to the scoring system, completely correct answers were given 1-point, and completely incorrect ones were given 4-points. To assess reproducibility, each question was posed twice on separate computers. Repeatability was determined by the consistency of the answers’ scores. Results: In the study, ChatGPT was posed with 200 questions: 107 from social media platforms and 93 from guidelines. The questions covered a range of topics: urinary tract infections (n=18 questions), pneumonia (n=22), HIV (n=39), hepatitis B and C (n=53), COVID-19 (n=11), skin and soft tissue infections (n=38), and tuberculosis (n=19). The lowest accuracy was 72% for urinary tract infections. ChatGPT answered 92% of social media platform questions correctly (scored 1-point) versus 69% of guideline questions (p =0.001; OR=5.48, 95% CI=2.29-13.11). Conclusion: Artificial intelligence is widely used in the medical field by both healthcare professionals and patients. Although ChatGPT answers questions from social media platforms quite properly, we recommend that healthcare professionals be conscientious when using it.
AU  - Tunçer, Gülsah
AU  - Güçlü, Kadir Görkem
DO  - 10.36519/idcm.2024.286
PY  - 2024
JO  - Infectious diseases and clinical microbiology (Online)
VL  - 6
IS  - 1
SN  - 2667-646X
SP  - 55
EP  - 59
DB  - TRDizin
UR  - http://search/yayin/detay/1230456
ER  -