Enhancing quotation accuracy assessment with chatpdf - a game-changer for a century-old conundrum
Document Type
Article
Department
Orthopaedic Surgery; Biological and Biomedical Sciences; Paediatrics and Child Health
Abstract
Quotation errors compromise the reliability of published medical literature, but assessing these errors is very timeintensive. The current observational cross-sectional study was planned to assess the accuracy and speed of detecting quotation errors using the ChatPDF programme that is powered by artificial intelligence. Of the 398 quotations assessed, 310(77.9%) were fully supported, while 88(22.1%) had errors. Among the former quotations, the ChatPDF programme could comprehensively highlight 210(67.7%) PDFs, provided comprehensive answers in 262(84.5%), and was completely helpful in 248(80%) cases. In contrast, for erroneous quotations, the corresponding values were 36(40.9%), 54(61.4%) and 43(48.9%), respectively (p< 0.001). ChatPDF was found to have immense potential to revolutionise quotation error assessments.
Publication (Name of Journal)
JPMA. The Journal of the Pakistan Medical Association
DOI
10.47391/JPMA.AKU-10Surg-28
Recommended Citation
Ibrahim, M.,
Veliky, C.,
Fatima, S. S.,
Hoodbhoy, Z.,
Noordin, S.
(2026). Enhancing quotation accuracy assessment with chatpdf - a game-changer for a century-old conundrum. JPMA. The Journal of the Pakistan Medical Association, 75(3), S150-S153.
Available at:
https://ecommons.aku.edu/pakistan_fhs_mc_surg_orthop/187