Background: Patient information leaflets (PILs) can supplement a clinical consultation and provide additional information for a patient to read in their own time. A wide range of PILs are available for distribution by the British Association of Dermatologists (BAD) and undergo rigorous review ahead of publication. In the UK, 7.1 million adults are estimated to have the reading age of a 9-year-old child and 43% are unable to comprehend written health information.
Objectives: To determine whether artificial intelligence (AI) can produce PILs that include a similar degree of content to current BAD PILs.
Methods: Using the AI tool ChatGPT, 10 PILs were generated, and their contents compared with those of existing BAD PILs using an author-generated list of commonly included themes. Omissions were noted and a repeat series of PILs generated using targeted request phrasing. The readability of AI-generated PILs was also analysed.
Results: AI-generated PILs were found to include similar factual content to BAD PILs but excluded information that was felt to be more pertinent to patient concerns such as curability and heritability. Targeted request phrasing saw AI generate PILs including this content. The readability of AI-generated PILs was beyond that of a large number of UK adults.
Conclusions: Where a condition-specific PIL is not readily available, an AI-generated PIL can provide relevant information of lesser quality than existing BAD PILs, which may be inaccessible to some patients. Specific caution is advised regarding AI-generated medication-specific PILs.
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http://dx.doi.org/10.1093/ced/llad461 | DOI Listing |
ACS Omega
January 2025
Department of Functional Materials, FZU - Institute of Physics - Czech Academy of Sciences, Na Slovance 1999/2, Prague 8 182 00, Czech Republic.
Here, we investigate the interactions between five representative gaseous analytes and two poly(ionic liquids) (PILs) based on the sulfopropyl acrylate polyanion in combination with the alkylphosphonium cations, P and P, and their nanocomposites with fullerenes (C, C) to reveal the potential of PILs as sensitive layers for gas sensors. The gaseous analytes were chosen based on their molecular size (all of them containing two carbon atoms) and variation of functional groups: alcohol (ethanol), nitrile (acetonitrile), aldehyde (acetaldehyde), halogenated alkane (bromoethane), and carboxylic acid (acetic acid). The six variations of PILs-PSPA (), PSPA + C ( + C), PSPA + C ( + C), and PSPA (), PSPA + C ( + C), PSPA + C ( + C)-were characterized by UV-vis and Raman spectroscopy, and their interactions with each gaseous analyte were studied using electrochemical impedance spectroscopy.
View Article and Find Full Text PDFCureus
December 2024
Trauma and Orthopedics, Lister Hospital, Stevenage, GBR.
Introduction The internet age has broadened the horizons of modern medicine, and the ever-increasing scope of artificial intelligence (AI) has made information about healthcare, common pathologies, and available treatment options much more accessible to the wider population. Patient autonomy relies on clear, accurate, and user-friendly information to give informed consent to an intervention. Our paper aims to outline the quality, readability, and accuracy of readily available information produced by AI relating to common foot and ankle procedures.
View Article and Find Full Text PDFCNS Neurol Disord Drug Targets
January 2025
Department of Biotechnology, National Institute of Technology, Raipur, 492001, India.
Parkinson's disease (PD) is a neurodegenerative disorder that results from the progressive loss of neurons in the brain followed by symptoms such as slowness and rigidity in movement, sleep disorders, dementia and many more. The different mechanisms due to which the neuronal degeneration occurs have been discussed, such as mutation in PD related genes, formation of Lewy bodies, oxidation of dopamine. This review discusses current surgical treatment and gene therapies with novel developments proposed for PD.
View Article and Find Full Text PDFLangmuir
January 2025
State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing, Jiangsu 211816, People's Republic of China.
The remarkable flexibility in structural tunability and designability of poly(ionic liquids) (PILs) has garnered significant attention. Integration of PILs with membranes, novel properties, and functionalities is anticipated for applications in the fields of membrane separation. Here, we develop a facile method to prepare PIL-functionalized membranes in a one-step process by combining selective swelling-induced pore generation and ionic liquid functionalization.
View Article and Find Full Text PDFDes Monomers Polym
January 2025
Leibniz-Institut für Polymerforschung Dresden e.V, Dresden, Germany.
Enhancing both ionic conductivity and mechanical robustness remains a major challenge in designing solid-state electrolytes for lithium batteries. This work presents a novel approach in designing mechanically robust and highly conductive solid-state electrolytes, which involves ionic liquid-based cross-linked polymer networks incorporating polymeric ionic liquids (PILs). First, linear PILs with different side groups were synthesized for optimizing the structure.
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