首页|Data on Artificial Intelligence Reported by Yakup Erden and Colleagues (Artifici al intelligence insights into osteoporosis: assessing ChatGPT's information qual ity and readability)
Data on Artificial Intelligence Reported by Yakup Erden and Colleagues (Artifici al intelligence insights into osteoporosis: assessing ChatGPT's information qual ity and readability)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Bolu, Turkey, by NewsRx journalists, research stated, "Accessible, accurate information, and read ability play crucial role in empowering individuals managing osteoporosis. This study showed that the responses generated by ChatGPT regarding osteoporosis had serious problems with quality and were at a level of complexity that that necess itates an educational background of approximately 17 years." The news correspondents obtained a quote from the research, "The use of artifici al intelligence (AI) applications as a source of information in the field of hea lth is increasing. Readable and accurate information plays a critical role in em powering patients to make decisions about their disease. The aim was to examine the quality and readability of responses provided by ChatGPT, an AI chatbot, to commonly asked questions regarding osteoporosis, representing a major public hea lth problem. ‘Osteoporosis,' ‘female osteoporosis,' and ‘male osteoporosis' were identified by using Google trends for the 25 most frequently searched keywords on Google. A selected set of 38 keywords was sequentially inputted into the chat interface of the ChatGPT. The responses were evaluated with tools of the Ensuri ng Quality Information for Patients (EQIP), the Flesch-Kincaid Grade Level (FKGL ), and the Flesch-Kincaid Reading Ease (FKRE). The EQIP score of the texts range d from a minimum of 36.36 to a maximum of 61.76 with a mean value of 48.71 as ha ving ‘serious problems with quality.' The FKRE scores spanned from 13.71 to 56.0 6 with a mean value of 28.71 and the FKGL varied between 8.48 and 17.63, with a mean value of 13.25. There were no statistically significant correlations betwee n the EQIP score and the FKGL or FKRE scores."
BoluTurkeyEurasiaArtificial Intell igenceEmerging TechnologiesHealth and MedicineMachine LearningMetabolic Bone Diseases and ConditionsMusculoskeletal Diseases and ConditionsOsteoporo sis
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