Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51187, first published .
The Use of Generative AI for Scientific Literature Searches for Systematic Reviews: ChatGPT and Microsoft Bing AI Performance Evaluation

The Use of Generative AI for Scientific Literature Searches for Systematic Reviews: ChatGPT and Microsoft Bing AI Performance Evaluation

The Use of Generative AI for Scientific Literature Searches for Systematic Reviews: ChatGPT and Microsoft Bing AI Performance Evaluation

Journals

  1. Luo X, Chen F, Zhu D, Wang L, Wang Z, Liu H, Lyu M, Wang Y, Wang Q, Chen Y. Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses. Journal of Medical Internet Research 2024;26:e56780 View
  2. Oermann M. You Cannot Search the Literature Using Artificial Intelligence, and This Is Why. Nursing Education Perspectives 2024;45(6):337 View
  3. Schwieger A, Angst K, de Bardeci M, Burrer A, Cathomas F, Ferrea S, Grätz F, Knorr M, Kronenberg G, Spiller T, Troi D, Seifritz E, Weber S, Olbrich S. Large language models can support generation of standardized discharge summaries – A retrospective study utilizing ChatGPT-4 and electronic health records. International Journal of Medical Informatics 2024;192:105654 View
  4. Innominato P, Wreglesworth N, Antonini A, Buchwald Z. Drug's Journey of a Thousand Papers Begins With a Single Step. JCO Clinical Cancer Informatics 2024;(8) View
  5. Schryen G, Marrone M, Yang J. Exploring the scope of generative AI in literature review development. Electronic Markets 2025;35(1) View
  6. Carrillo B, Rubinos-Cuadrado M, Parellada-Martin J, Palacios-López A, Carrillo-Rubinos B, Canillas-Del Rey F, Baztán-Cortes J, Gómez-Pavon J. Effectiveness of The Umbrella Collaboration Versus Traditional Umbrella Reviews for Evidence Synthesis in Health Care: Protocol for a Validation Study. JMIR Research Protocols 2025;14:e67248 View
  7. Matthay E, Neill D, Titus A, Desai S, Troxel A, Cerdá M, Díaz I, Santacatterina M, Thorpe L. Integrating Artificial Intelligence into Causal Research in Epidemiology. Current Epidemiology Reports 2025;12(1) View
  8. Lu J, Choi K, Eremeev M, Gobburu J, Goswami S, Liu Q, Mo G, Musante C, Shahin M. Large Language Models and Their Applications in Drug Discovery and Development: A Primer. Clinical and Translational Science 2025;18(4) View
  9. Boyle A, Huo B, Sylla P, Calabrese E, Kumar S, Slater B, Walsh D, Vosburg R. Large language model-generated clinical practice guideline for appendicitis. Surgical Endoscopy 2025;39(6):3539 View
  10. Clark J, Barton B, Albarqouni L, Byambasuren O, Jowsey T, Keogh J, Liang T, Moro C, O’Neill H, Jones M. Generative artificial intelligence use in evidence synthesis: A systematic review. Research Synthesis Methods 2025;16(4):601 View
  11. Scherbakov D, Hubig N, Jansari V, Bakumenko A, Lenert L. The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review. Journal of the American Medical Informatics Association 2025;32(6):1071 View
  12. Wong W, Sumodhee D, Morris T, Tailor B, Hollyhead C, Woof W, Archer S, Veal C, Lobo L, Al-Khuzaei S, Daich Varela M, C de Guimaraes T, Gomes M, Shah M, Moosajee M, Downes S, Madhusudhan S, Mahroo O, Webster A, Michaelides M, Pontikos N. Inherited retinal disease pathway in the UK: a patient perspective and the potential of AI. British Journal of Ophthalmology 2025:bjo-2024-327074 View
  13. Luo Z, Kam S, Kim J, Hu W, Lin C, Park H, Shin Y. Does the Quality and Readability of Information Related to Varicocele Obtained from ChatGPT 4.0 Remain Consistent Across Different Models of Inquiry?. The World Journal of Men's Health 2025;43 View
  14. Milner K, Farus-Brown S, Zonsius M, Fineout-Overholt E. Establishing Benchmarks. AJN, American Journal of Nursing 2025;125(9):52 View
  15. Carrillo B, Rubinos-Cuadrado M, Parellada-Martin J, Palacios-López A, Carrillo-Rubinos B, Canillas del Rey F, Baztán Cortés J, Gómez Pavón J. The Umbrella Collaboration®: An Innovative Tertiary Evidence Synthesis Methodology (Preprint). JMIR Formative Research 2025 View
  16. Daraio C, Di Leo S, Orsini J. An Integrated and Flexible Review Framework to Evaluate the Evolution and Barriers of Digital-Twin Technologies in Industrial and Healthcare Domains. Global Journal of Flexible Systems Management 2025;26(3):625 View
  17. Daniel L, Groeger L, Hölzle K. Unpacking smart farming innovation: A systematic literature review on technological change in agriculture. Journal of Engineering and Technology Management 2025;77:101898 View
  18. Ng J. Prompt engineering for generative artificial intelligence chatbots in health research: A practical guide for traditional, complementary, and integrative medicine researchers. Integrative Medicine Research 2025;14(4):101222 View
  19. Rashid M, Yi C, Sathapanasiri T, Udayachalerm S, Boonpattharatthiti K, Insuk S, Veettil S, Lai N, Chaiyakunapruk N, Dhippayom T, Rashid M, Cheng S, Ming Lai N, Lawin S, Limhensin P, Wechkunanukul K, Mayang N, Rattanachaisit N, Ye X. Role of Generative Artificial Intelligence in Assisting Systematic Review Process in Health Research: A Systematic Review. Value in Health 2025 View

Books/Policy Documents

  1. Kowar S, Saha M, Gazi T, Das A. Real-World Applications of AI Innovation. 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