首页|Investigators at Henry Ford Hospital Detail Findings in Artificial Intelligence (Application of Artificial Intelligence To Patient-targeted Health Information O n Kidney Stone Disease)
Investigators at Henry Ford Hospital Detail Findings in Artificial Intelligence (Application of Artificial Intelligence To Patient-targeted Health Information O n Kidney Stone Disease)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Artificial In telligence have been published. According to news reporting out of Detroit, Mich igan, by NewsRx editors, research stated, “The American Medical Association reco mmends health information to be written at a 6th grade level reading level. Our aim was to determine whether Artificial Intelligence can outperform the existing health information on kidney stone prevention and treatment.” Our news journalists obtained a quote from the research from Henry Ford Hospital , “The top 50 search results for ‘Kidney Stone Prevention’and ‘Kidney Stone Trea tment’on Google, Bing, and Yahoo were selected. Duplicate webpages, advertisemen ts, pages intended for health professionals such as science articles, links to v ideos, paid subscription pages, and links nonrelated to kidney stone prevention and/or treatment were excluded. Included pages were categorized into academic, h ospital -affiliated, commercial, nonprofit foundations, and other. Quality and r eadability of webpages were evaluated using validated tools, and the reading lev el was descriptively compared with ChatGPT generated health information on kidne y stone prevention and treatment. 50 webpages on kidney stone prevention and 49 on stone treatment were included in this study. The reading level was determined to equate to that of a 10th to 12th grade student. Quality was measured as ‘fai r’with no pages scoring ‘excellent’and only 20% receiving a ‘good’ quality. There was no significant difference between pages from academic, hospit al -affiliated, commercial, and nonprofit foundation publications. The text gene rated by ChatGPT was considerably easier to understand with readability levels m easured as low as 5th grade. The language used in existing information on kidney stone disease is of subpar quality and too complex to understand.”
DetroitMichiganUnited StatesNorth and Central AmericaArtificial IntelligenceEmerging TechnologiesHospitalsMachine LearningHenry Ford Hospital
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