Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53086, first published .
Search Engines and Generative Artificial Intelligence Integration: Public Health Risks and Recommendations to Safeguard Consumers Online

Search Engines and Generative Artificial Intelligence Integration: Public Health Risks and Recommendations to Safeguard Consumers Online

Search Engines and Generative Artificial Intelligence Integration: Public Health Risks and Recommendations to Safeguard Consumers Online

Journals

  1. Deiner M, Honcharov V, Li J, Mackey T, Porco T, Sarkar U. Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study. JMIR Infodemiology 2024;4:e59641 View
  2. Ashraf A, Mackey T, Vida R, Kulcsár G, Schmidt J, Balázs O, Domián B, Li J, Csákó I, Fittler A. Multifactor Quality and Safety Analysis of Semaglutide Products Sold by Online Sellers Without a Prescription: Market Surveillance, Content Analysis, and Product Purchase Evaluation Study. Journal of Medical Internet Research 2024;26:e65440 View
  3. Siu A, Gibson D, Chiu C, Kwok A, Irwin M, Christie A, Koh C, Keshava A, Reece M, Suen M, Rickard M. ChatGPT as a patient education tool in colorectal cancer—An in‐depth assessment of efficacy, quality and readability. Colorectal Disease 2025;27(1) View
  4. De Ninno F, Lacriola M. Mussolini and ChatGPT. Examining the Risks of A.I. writing Historical Narratives on Fascism. Journal of Modern Italian Studies 2025;30(2):187 View
  5. Naseem S, Rizwan M. The role of artificial intelligence in advancing food safety: A strategic path to zero contamination. Food Control 2025;175:111292 View
  6. Toma A, Crişan O. Building an Ethical Framework for European Pharmacists in e-Pharmacies. Journal of Medical Internet Research 2025;27:e64750 View
  7. Deiner M, Deiner R, Fathy C, Deiner N, Hristidis V, McLeod S, Bukowski T, Doan T, Seitzman G, Lietman T, Porco T. Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study. Journal of Medical Internet Research 2025;27:e65226 View
  8. Bandeira A, Gonçalves L, Holl F, Shaibu J, Gonçalves M, Payinda R, Paudel S, Berionni A, Purnat T, Mackey T. Viewpoint on the Intersection Among Health Information, Misinformation, and Generative AI Technologies. JMIR Infodemiology 2025;5:e69474 View
  9. Domián B, Ashraf A, Fittler A, Káplár M, Vida R. Comparative evaluation of artificial intelligence platforms and drug interaction screening databases using real-world patient data. Exploratory Research in Clinical and Social Pharmacy 2025;20:100655 View
  10. Liu M, Okuhara T, Shirabe R, Nishiie Y, Xu Y, Okada H, Kiuchi T. Evaluating the Reliability and Accuracy of an AI-Powered Search Engine in Providing Responses on Dietary Supplements: Quantitative and Qualitative Evaluation. JMIR AI 2025;4:e78436 View

Books/Policy Documents

  1. Wan S. Encyclopedia of Libraries, Librarianship, and Information Science. View

Conference Proceedings

  1. Kaiser C, Kaiser J, Schallner R, Schneider S. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. A New Era of Online Search? A Large-Scale Study of User Behavior and Personal Preferences during Practical Search Tasks with Generative AI versus Traditional Search Engines View