PeerJ, Journal Year: 2025, Volume and Issue: 13, P. e18847 - e18847
Published: Jan. 22, 2025
Background Patients who are informed about the causes, pathophysiology, treatment and prevention of a disease better able to participate in procedures event illness. Artificial intelligence (AI), which has gained popularity recent years, is defined as study algorithms that provide machines with ability reason perform cognitive functions, including object word recognition, problem solving decision making. This aimed examine readability, reliability quality responses frequently asked keywords low back pain (LBP) given by three different AI-based chatbots (ChatGPT, Perplexity Gemini), popular applications online information presentation today. Methods All AI were 25 most used related LBP determined help Google Trend. In order prevent possible bias could be created sequential processing answers chatbots, was designed providing input from users (EO, VH) for each keyword. The readability Simple Measure Gobbledygook (SMOG), Flesch Reading Ease Score (FRES) Gunning Fog (GFG) scores. Quality assessed using Global (GQS) Ensuring Information (EQIP) score. Reliability determining DISCERN Journal American Medical Association (JAMA) scales. Results first detected result Trend search “Lower Back Pain”, “ICD 10 Low “Low Pain Symptoms”. It all higher than recommended 6th grade level ( p < 0.001). EQIP, JAMA, modified GQS score evaluation, found have significantly scores other Conclusion been difficult read assessment. clear when new introduced, they can guidance patients increased clarity text quality. inspiration future studies on improving chatbots.
Language: Английский
Citations
3Human versus Artificial Intelligence: ChatGPT-4 Outperforming Bing, Bard, ChatGPT-3.5 and Humans in Clinical Chemistry Multiple-Choice Questions
Advances in Medical Education and Practice, Journal Year: 2024, Volume and Issue: Volume 15, P. 857 - 871
Published: Sept. 1, 2024
Artificial intelligence (AI) chatbots excel in language understanding and generation. These models can transform healthcare education practice. However, it is important to assess the performance of such AI various topics highlight its strengths possible limitations. This study aimed evaluate ChatGPT (GPT-3.5 GPT-4), Bing, Bard compared human students at a postgraduate master's level Medical Laboratory Sciences.
Language: Английский
Citations
6Language discrepancies in the performance of generative artificial intelligence models: an examination of infectious disease queries in English and Arabic
BMC Infectious Diseases, Journal Year: 2024, Volume and Issue: 24(1)
Published: Aug. 8, 2024
Assessment of artificial intelligence (AI)-based models across languages is crucial to ensure equitable access and accuracy information in multilingual contexts. This study aimed compare AI model efficiency English Arabic for infectious disease queries.
Language: Английский
Citations
4The performance of OpenAI ChatGPT-4 and Google Gemini in virology multiple-choice questions: a comparative analysis of English and Arabic responses
BMC Research Notes, Journal Year: 2024, Volume and Issue: 17(1)
Published: Sept. 3, 2024
Language: Английский
Citations
4Introduction
Published: Jan. 1, 2024
Citations
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