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DOI 10.1016/j.ard.2025.11.012

Медицинская библиотека · Annals of the rheumatic diseases · 2025

ChatGPT vs rheumatologists: cross-sectional study on accuracy and patient perception of AI-generated information for psoriatic arthritis.

Forte Giulio, Mauro Daniele, Raimondi Maura, Pantano Ilenia, Gandolfo Saviana, Cauli Alberto, Guggino Giuliana, Lubrano Ennio, Guiducci Serena, Chimenti Maria Sole, Peluso Giusy, D'Agostino Maria Antonietta, Ramonda Roberta, Caso Francesco, Costa Luisa, Ruscitti Piero, Maioli Gabriella, Lopalco Giuseppe, Tirri Enrico, Caporali Roberto, Ciccia Francesco

СтатьяСравнительное исследованиеПеревод в очереди

Аннотация

OBJECTIVES

Patients with rheumatic diseases frequently turn to online sources for medical information. Large language models, such as ChatGPT, may offer an accessible alternative to conventional patient‑education resources; however, their reliability remains poorly explored. We conducted an exploratory, descriptive comparison to examine whether ChatGPT-4 might provide responses comparable to those of experts.

METHODS

Seventy-six psoriatic arthritis (PsA) patients generated 32 questions (296 selections) grouped into 6 themes. Each question was answered by ChatGPT-4 and by 12 Italian PsA specialists (each drafted 2-3 answers). Fourteen clinicians, The 14 clinicians scored the accuracy and completeness of AI and human-generated answers, rated accuracy (1-5 Likert scale) and completeness (1-3). Interrater reliability was calculated, and mixed-effects ordinal logistic models were used to compare sources. In a separate arm, 67 PsA patients reviewed 16 randomly selected answer pairs and indicated their preference. Readability was assessed. No formal sample size calculation was performed; P values were descriptive and interpreted alongside effect sizes and 95% CIs.

RESULTS

Patients most frequently sought information on prognosis/comorbidities (54/76, 71.1%), therapy strategy (48/76, 63.2%), and treatment risks (38/76, 50.0%). Accuracy appeared comparable between ChatGPT and experts, but ChatGPT scored lower in completeness. Accuracy was lower for pregnancy/fertility, with no clear relevant differences in other domains. ChatGPT answers were chosen 491/998 times (49.2%), clinician answers 343/998 times (34.4%), and no preference 164/998 times (16.4%, P < .001), with a relative preference for ChatGPT responses in prognosis and therapy. ChatGPT responses were, on average, more readable across indices.

CONCLUSIONS

In this exploratory study, ChatGPT-4 appeared able to generate accurate and readable responses to PsA-related questions and was often preferred by patients.

Для цитирования: Forte Giulio, Mauro Daniele, Raimondi Maura, Pantano Ilenia, Gandolfo Saviana, Cauli Alberto, Guggino Giuliana, Lubrano Ennio, Guiducci Serena, Chimenti Maria Sole, Peluso Giusy, D'Agostino Maria Antonietta, Ramonda Roberta, Caso Francesco, Costa Luisa, Ruscitti Piero, Maioli Gabriella, Lopalco Giuseppe, Tirri Enrico, Caporali Roberto, Ciccia Francesco. ChatGPT vs rheumatologists: cross-sectional study on accuracy and patient perception of AI-generated information for psoriatic arthritis.. Annals of the rheumatic diseases. 2025. DOI: 10.1016/j.ard.2025.11.012.

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