Assessing the readability, quality and reliability of responses produced by ChatGPT, Gemini, and Perplexity regarding most frequently asked keywords about low back pain.

Journal: PeerJ

PMID: 39866564

Abstract

BACKGROUND: Patients who are informed about the causes, pathophysiology, treatment and prevention of a disease are better able to participate in treatment procedures in the event of illness. Artificial intelligence (AI), which has gained popularity in recent years, is defined as the study of algorithms that provide machines with the ability to reason and perform cognitive functions, including object and word recognition, problem solving and decision making. This study aimed to examine the readability, reliability and quality of responses to frequently asked keywords about low back pain (LBP) given by three different AI-based chatbots (ChatGPT, Perplexity and Gemini), which are popular applications in online information presentation today.

Authors

Erkan Ozduran

Physical Medicine and Rehabilitation, Pain Medicine, Sivas Numune Hospital, Sivas, Turkey.
Volkan Hancı

Clinic of Anesthesiology and Critical Care, Sincan Education and Research Hospital, Ankara, Turkey.
Yüksel Erkin

Anesthesiology and Reanimation, Pain Medicine, Dokuz Eylül University, Izmir, Turkey.
İlhan Celil Özbek

Physical Medicine and Rehabilitation, Health Science University, Derince Education and Research Hospital, Kocaeli, Turkey.
Vugar Abdulkerimov

Anesthesiology and Reanimation, Central Clinical Hospital, Baku, Azerbaijan.

Keywords

Artificial Intelligence Comprehension Generative Artificial Intelligence Humans Internet Low Back Pain Reproducibility of Results

External Resources

View on PubMed Access via DOI PubMed (39866564)

Assessing the readability, quality and reliability of responses produced by ChatGPT, Gemini, and Perplexity regarding most frequently asked keywords about low back pain.

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