Various studies have investigated the ability of ChatGPT (OpenAI) to provide medication information; however, a new promising feature has now been added, which allows visual input and is yet to be evaluated. Here, we aimed to qualitatively assess its ability to visually recognize medications, through medication picture input, and provide patient education via written and visual output. The responses were evaluated by accuracy, precision and clarity using a 4-point Likert-like scale. In regards to handling visual input and providing written responses, GPT-4o was able to recognize all 20 tested medications from packaging pictures, even with blurring, retrieve their active ingredients, identify formulations and dosage forms and provide detailed, yet concise enough, patient education in an almost completely accurate, precise and clear manner with a score of 3.55 ± 0.605 (85%). In contrast, the visual output through GPT-4o generated images illustrating usage instructions contained many errors that would either hinder the effectiveness of the medication or cause direct harm to the patient with a poor score of 1.5 ± 0.577 (16.7%). In conclusion, GPT-4o is capable of identifying medications from pictures and exhibits contrasting patient education performance between written and visual output with very impressive and poor scores, respectively.
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http://dx.doi.org/10.1038/s41598-024-78577-y | DOI Listing |
Nurse Educ Pract
January 2025
Xiangya School of Nursing, Central South University, 172 Tongzipo Road, Changsha, Hunan 410013, China; Xiangya Research Center of Evidence-based Healthcare, Central South University, 172 Tongzipo Road, Changsha, Hunan, 410013, China.; Xiangya Center for Evidence-Based Nursing Practice & Healthcare Innovation: A JBI Centre of Excellence, 172 Tongzipo Road, Changsha, Hunan 410013, China. Electronic address:
Aim: To determine what intervention strategies have been used in interventions aimed at improving the patient health education competence of nursing personnel.
Background: There is a growing body of research on educational interventions for improving nursing personnel's patient health education competence, but there are significant differences in the teaching objectives, content and methods of these studies, as well as a lack of standardized educational strategies.
Design: The scoping review was based on the Joanna Briggs Institute methodology.
Patient Educ Couns
January 2025
Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address:
Objective: We aimed to evaluate the content and quality of websites for consumers providing information about human papillomavirus (HPV) risks in patients with systemic lupus erythematosus (SLE).
Methods: We conducted an environmental scan of websites for patients and the general public with information about HPV and SLE. We searched Google from inception to June 2023, using the terms "HPV" and "lupus".
J Med Ethics
January 2025
Department of Biology, Stanford University, Stanford, California, USA
In a recent article, Haining outline several ethical and regulatory considerations for polygenic risk scores (PRSs), which may expand current embryonic screening to include polygenic diseases and non-disease traits. I argue in this response that the authors overlook a few crucial issues that nations should address. For adult-onset diseases, regulations must not only account for predictive accuracy of PRSs but also establish the precise circumstances that warrant testing-such as a disease's severity and the average age at which symptoms manifest.
View Article and Find Full Text PDFHand Surg Rehabil
January 2025
Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York City, NY, United States.
Background: Patients are increasingly turning to the internet, and recently artificial intelligence engines (e.g., ChatGPT), for answers to common medical questions.
View Article and Find Full Text PDFExpert Opin Biol Ther
January 2025
Department of Pediatric Rheumatology, Kocaeli University, Kocaeli, Turkey.
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