Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48996, first published .
Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study

Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study

Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study

Journals

  1. Kohandel Gargari O, Mahmoudi M, Hajisafarali M, Samiee R. Enhancing title and abstract screening for systematic reviews with GPT-3.5 turbo. BMJ Evidence-Based Medicine 2023:bmjebm-2023-112678 View
  2. Ye A, Maiti A, Schmidt M, Pedersen S. A Hybrid Semi-Automated Workflow for Systematic and Literature Review Processes with Large Language Model Analysis. Future Internet 2024;16(5):167 View
  3. Tran V, Gartlehner G, Yaacoub S, Boutron I, Schwingshackl L, Stadelmaier J, Sommer I, Alebouyeh F, Afach S, Meerpohl J, Ravaud P. Sensitivity and Specificity of Using GPT-3.5 Turbo Models for Title and Abstract Screening in Systematic Reviews and Meta-analyses. Annals of Internal Medicine 2024;177(6):791 View
  4. Yoon D, Han C, Kim D, Kim S, Bae S, Ryu J, Choi Y. Redefining Health Care Data Interoperability: Empirical Exploration of Large Language Models in Information Exchange. Journal of Medical Internet Research 2024;26:e56614 View
  5. Riaz I, Naqvi S, Hasan B, Murad M. Future of Evidence Synthesis: Automated, Living, and Interactive Systematic Reviews and Meta-analyses. Mayo Clinic Proceedings: Digital Health 2024;2(3):361 View
  6. Landschaft A, Antweiler D, Mackay S, Kugler S, Rüping S, Wrobel S, Höres T, Allende-Cid H. Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews. International Journal of Medical Informatics 2024;189:105531 View
  7. 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
  8. Menold H, Wieland V, Haney C, Uysal D, Wessels F, Cacciamani G, Michel M, Seide S, Kowalewski K. Machine learning enables automated screening for systematic reviews and meta-analysis in urology. World Journal of Urology 2024;42(1) View
  9. Akinseloyin O, Jiang X, Palade V. A question-answering framework for automated abstract screening using large language models. Journal of the American Medical Informatics Association 2024;31(9):1939 View
  10. Guo E, Ramchandani R, Park Y, Gupta M. OSCEai: personalized interactive learning for undergraduate medical education. Canadian Medical Education Journal 2024 View
  11. Park K, Choi H. How to Harness the Power of GPT for Scientific Research: A Comprehensive Review of Methodologies, Applications, and Ethical Considerations. Nuclear Medicine and Molecular Imaging 2024;58(6):323 View
  12. Matsui K, Utsumi T, Aoki Y, Maruki T, Takeshima M, Takaesu Y. Human-Comparable Sensitivity of Large Language Models in Identifying Eligible Studies Through Title and Abstract Screening: 3-Layer Strategy Using GPT-3.5 and GPT-4 for Systematic Reviews. Journal of Medical Internet Research 2024;26:e52758 View
  13. Li Y, Luan Z, Liu Y, Liu H, Qi J, Han D. Automated information extraction model enhancing traditional Chinese medicine RCT evidence extraction (Evi-BERT): algorithm development and validation. Frontiers in Artificial Intelligence 2024;7 View
  14. Klang E, Alper L, Sorin V, Barash Y, Nadkarni G, Zimlichman E. Advancing radiology practice and research: harnessing the potential of large language models amidst imperfections. BJR|Open 2023;6(1) View
  15. Arfaie S, Sadegh Mashayekhi M, Mofatteh M, Ma C, Ruan R, MacLean M, Far R, Saini J, Harmsen I, Duda T, Gomez A, Rebchuk A, Pingbei Wang A, Rasiah N, Guo E, Fazlollahi A, Rose Swan E, Amin P, Mohammed S, Atkinson J, Del Maestro R, Girgis F, Kumar A, Das S. ChatGPT and neurosurgical education: A crossroads of innovation and opportunity. Journal of Clinical Neuroscience 2024;129:110815 View
  16. Reason T, Langham J, Gimblett A. Automated Mass Extraction of Over 680,000 PICOs from Clinical Study Abstracts Using Generative AI: A Proof-of-Concept Study. Pharmaceutical Medicine 2024;38(5):365 View
  17. Lee J, Park S, Shin J, Cho B. Analyzing evaluation methods for large language models in the medical field: a scoping review. BMC Medical Informatics and Decision Making 2024;24(1) View
  18. Sugiura A, Saegusa S, Jin Y, Yoshimoto R, Smith N, Dohi K, Higuchi T, Kozu T. Evaluation of RMES, an Automated Software Tool Utilizing AI, for Literature Screening with Reference to Published Systematic Reviews as Case-Studies: Development and Usability Study. JMIR Formative Research 2024;8:e55827 View
  19. Bailey R, MacFarlane A, Field M, Tagkopoulos I, Baranzini S, Edwards K, Rose C, Schork N, Singhal A, Wallace B, Fisher K, Markakis K, Stover P, Bovell-Benjamin A. Artificial intelligence in food and nutrition evidence: The challenges and opportunities. PNAS Nexus 2024;3(12) View
  20. Liu Z, Chai Y, Li J. Toward Automated Simulation Research Workflow through LLM Prompt Engineering Design. Journal of Chemical Information and Modeling 2025;65(1):114 View
  21. Janumpally R, Nanua S, Ngo A, Youens K. Generative artificial intelligence in graduate medical education. Frontiers in Medicine 2025;11 View
  22. Hua Y, Beam A, Chibnik L, Torous J. From statistics to deep learning: Using large language models in psychiatric research. International Journal of Methods in Psychiatric Research 2025;34(1) View
  23. Schrager S, Seehusen D, Sexton S, Richardson C, Neher J, Pimlott N, Bowman M, Rodíguez J, Morley C, Li L, Dera J. Use of AI in family medicine publications: a joint editorial from journal editors. Evidence-Based Practice 2025;28(1):1 View
  24. Chen H, Jiang Z, Liu X, Xue C, Yew S, Sheng B, Zheng Y, Wang X, Wu Y, Sivaprasad S, Wong T, Chaudhary V, Tham Y. Can large language models fully automate or partially assist paper selection in systematic reviews?. British Journal of Ophthalmology 2025;109(8):962 View
  25. Fleurence R, Bian J, Wang X, Xu H, Dawoud D, Higashi M, Chhatwal J. Generative Artificial Intelligence for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations: An ISPOR Working Group Report. Value in Health 2025;28(2):175 View
  26. Schrager S, Seehusen D, Sexton S, Richardson C, Neher J, Pimlott N, Bowman M, Rodríguez J, Morley C, Li L, DomDera J. Use of AI in family medicine publications: a joint editorial from journal editors. Family Medicine and Community Health 2025;13(1):e003238 View
  27. Rafiq K, Beery S, Palmer M, Harchaoui Z, Abrahms B. Generative AI as a tool to accelerate the field of ecology. Nature Ecology & Evolution 2025;9(3):378 View
  28. Purewal A, Fautsch K, Klasova J, Hussain N, D'Souza R. Human versus artificial intelligence: evaluating ChatGPT’s performance in conducting published systematic reviews with meta-analysis in chronic pain research. Regional Anesthesia & Pain Medicine 2025:rapm-2024-106358 View
  29. Cao C, Sang J, Arora R, Chen D, Kloosterman R, Cecere M, Gorla J, Saleh R, Drennan I, Teja B, Fehlings M, Ronksley P, Leung A, Weisz D, Ware H, Whelan M, Emerson D, Arora R, Bobrovitz N. Development of Prompt Templates for Large Language Model–Driven Screening in Systematic Reviews. Annals of Internal Medicine 2025;178(3):389 View
  30. Li Y, Datta S, Rastegar-Mojarad M, Lee K, Paek H, Glasgow J, Liston C, He L, Wang X, Xu Y. Enhancing systematic literature reviews with generative artificial intelligence: development, applications, and performance evaluation. Journal of the American Medical Informatics Association 2025;32(4):616 View
  31. Çalışkan E. Exploring possibilities and limits of ChatGPT: Usage in building design studies. Turkish Journal of Engineering 2025;9(3):490 View
  32. Colangelo M, Guizzardi S, Meleti M, Calciolari E, Galli C. How to Write Effective Prompts for Screening Biomedical Literature Using Large Language Models. BioMedInformatics 2025;5(1):15 View
  33. IIZUMI T, ONO Y, TAKIMOTO T, Chaogejilatu . Crop phenology data extraction from research papers using a large language model. Journal of Agricultural Meteorology 2025;81(2):112 View
  34. Sujau M, Wada M, Vallée E, Hillis N, Sušnjak T. Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation. Machine Learning and Knowledge Extraction 2025;7(2):28 View
  35. Brodsky V, Ullah E, Bychkov A, Song A, Walk E, Louis P, Rasool G, Singh R, Mahmood F, Bui M, Parwani A. Generative Artificial Intelligence in Anatomic Pathology. Archives of Pathology & Laboratory Medicine 2025;149(4):298 View
  36. Dietrich E. Artificial intelligence in key pricing, reimbursement, and market access (PRMA) processes: better, faster, cheaper—can you really pick two?. Journal of Medical Economics 2025;28(1):586 View
  37. Nitturi V, Flores A, Bauer D. Using Natural Language Processing to Automate Screening of Abstracts for Neurosurgical Guideline Creation. Neurosurgery 2025;97(3):736 View
  38. 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
  39. Nykvist B, Macura B, Xylia M, Olsson E. Testing the utility of GPT for title and abstract screening in environmental systematic evidence synthesis. Environmental Evidence 2025;14(1) View
  40. 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
  41. Reason T, Klijn S, Rawlinson W, Benbow E, Langham J, Teitsson S, Johannesen K, Malcolm B. Using Generative Artificial Intelligence in Health Economics and Outcomes Research: A Primer on Techniques and Breakthroughs. PharmacoEconomics - Open 2025;9(4):501 View
  42. Ramchandani R, Guo E, Rakab E, Rathod J, Strain J, Klement W, Shorr R, Williams E, Jones D, Gilbert S. Validation of automated paper screening for esophagectomy systematic review using large language models. PeerJ Computer Science 2025;11:e2822 View
  43. 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
  44. Trad F, Yammine R, Charafeddine J, Chakhtoura M, Rahme M, El-Hajj Fuleihan G, Chehab A. Streamlining systematic reviews with large language models using prompt engineering and retrieval augmented generation. BMC Medical Research Methodology 2025;25(1) View
  45. Vallamchetla S, Abdelkader O, Elnaggar A, Ramadan D, Islam Shourav M, Riaz I, Lin M. Do it faster with PICOS: Generative AI-Assisted systematic review screening. Journal of Biomedical Informatics 2025;168:104860 View
  46. Zhuang Z, Chen J, Xu H, Jiang Y, Lin J. Large language models for automated scholarly paper review: A survey. Information Fusion 2025;124:103332 View
  47. Rokhshad R, Bagherianlemraski M, Ehsani S, Haghighat S, Schwendicke F. Large language models for the screening step in systematic reviews in dentistry. Journal of Dentistry 2025;160:105877 View
  48. Yu Z, Fang L, Ding Y, Shen Y, Xu L, Cai Y, Liu X. Evaluating large language models for information extraction from gastroscopy and colonoscopy reports through multi-strategy prompting. Journal of Biomedical Informatics 2025;168:104844 View
  49. Fleurence R, Wang X, Bian J, Higashi M, Ayer T, Xu H, Dawoud D, Chhatwal J. A Taxonomy of Generative Artificial Intelligence in Health Economics and Outcomes Research: An ISPOR Working Group Report. Value in Health 2025;28(11):1601 View
  50. Oami T, Okada Y, Nakada T. Optimal large language models to screen citations for systematic reviews. Research Synthesis Methods 2025;16(6):859 View
  51. Zhang Z, Momeni Nezhad M, Gupta P, Zolnour A, Azadmaleki H, Topaz M, Zolnoori M. Enhancing AI for citation screening in literature reviews: Improving accuracy with ensemble models. International Journal of Medical Informatics 2025;203:106035 View
  52. de Bruin J, Lombaers P, Kaandorp C, Teijema J, van der Kuil T, Yazan B, Dong A, van de Schoot R. ASReview LAB v.2: Open-source text screening with multiple agents and a crowd of experts. Patterns 2025;6(7):101318 View
  53. Lee S, Park J, Kang K, Han S, Kim S, Seo M. Development of a Deep Learning-Based Model to Predict KeratinoSensTM Activity for Screening Potential Skin Sensitizers. Journal of Environmental Health Sciences 2025;51(3):137 View
  54. Homiar A, Thomas J, Ostinelli E, Kennett J, Friedrich C, Cuijpers P, Harrer M, Leucht S, Miguel C, Rodolico A, Kataoka Y, Takayama T, Yoshimura K, So R, Tsujimoto Y, Yamagishi Y, Takagi S, Sakata M, Bašić Đ, Karyotaki E, Potts J, Salanti G, Furukawa T, Cipriani A. Development and evaluation of prompts for a large language model to screen titles and abstracts in a living systematic review. BMJ Mental Health 2025;28(1):e301762 View
  55. Bayani A, Epoh Ewane L, Oliveira dos Anjos D, Mac-Seing M, Nikiema J. Leveraging open-source large language models (LLMs) in scoping reviews: a case study on disability and AI applications. International Journal of Medical Informatics 2025;204:106048 View
  56. Kwon C. Using artificial intelligence for the development of a living evidence map: The pharmacopuncture example. Integrative Medicine Research 2025;14(4):101217 View
  57. Rüland A, Andersen L, Hassen A, Kinyanjui C, Ralfs A, Grisci B. Science diplomacy: A global research field? Findings from a bibliometric analysis of the science diplomacy scholarship of the past twenty years. Scientometrics 2025;130(8):4697 View
  58. Xu S, Zhao Z, Liu X, Meng X. A comparative study of screening performance between abstrackr and GPT models: Systematic review and contextual analysis. BMC Medical Informatics and Decision Making 2025;25(1) View
  59. Graumann O, Cui Xin W, Goudie A, Blaivas M, Braden B, Campbell Westerway S, Chammas M, Dong Y, Gilja O, Hsieh P, Jiang Tian A, Liang P, Möller K, Nolsøe C, Săftoiu A, Dietrich C. Artificial Intelligence in Abdominal, Gynecological, Obstetric, Musculoskeletal, Vascular and Interventional Ultrasound. Ultrasound in Medicine & Biology 2025;51(11):1865 View
  60. Shanmugam D, Agrawal M, Movva R, Chen I, Ghassemi M, Jacobs M, Pierson E. Generative Artificial Intelligence in Medicine. Annual Review of Biomedical Data Science 2025;8(1):199 View
  61. Pan C, Lu W, Chen B, Zhang G, Yang Z, Hao J. Automated Literature Screening for Hepatocellular Carcinoma Treatment Through Integration of 3 Large Language Models: Methodological Study. JMIR Medical Informatics 2025;13:e76252 View
  62. 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;28(11):1665 View
  63. Fleurence R, Dawoud D, Bian J, Higashi M, Wang X, Xu H, Chhatwal J, Ayer T. ELEVATE-GenAI: Reporting Guidelines for the Use of Large Language Models in Health Economics and Outcomes Research: An ISPOR Working Group Report. Value in Health 2025;28(11):1611 View
  64. Ruan M, Fan J, Liu M, Meng Z, Zhang X, Zhang C. Artificial intelligence for the science of evidence synthesis: how good are AI-powered tools for automatic literature screening?. BMC Medical Research Methodology 2025;25(1) View
  65. Dogra S, Arabshahi S, Wei J, Hu E, Saidenberg L, Sharma S, Gu Z, Siriruchatanon M, Kang S. Evaluating Large Language Models for Radiology Systematic Review Title and Abstract Screening. Academic Radiology 2025;32(12):7023 View
  66. Insuk S, Boonpattharatthiti K, Booncharoen C, Chaipitak P, Rashid M, Veettil S, Lai N, Chaiyakunapruk N, Dhippayom T. How Well Do ChatGPT and Claude Perform in Study Selection for Systematic Review in Obstetrics. Journal of Medical Systems 2025;49(1) View
  67. Asadi A, Zhang Y, Said H. What do personas say about privacy & security: a systematic literature review through human-AI collaboration. Journal of Ambient Intelligence and Humanized Computing 2025;16(11-12):1175 View
  68. Emilova Doneva S, de Viragh S, Hubarava H, Schandelmaier S, Briel M, Ineichen B. StudyTypeTeller—Large language models to automatically classify research study types for systematic reviews. Research Synthesis Methods 2025;16(6):1005 View
  69. Salehin I, Tomal Ahmed Sajib M, Huda Badhon N, Sakibul Hassan Rifat M, Amin N, Nessa Moon N. Systematic Literature Review of LLM‐Large Language Model in Medical: Digital Health, Technology and Applications. Engineering Reports 2025;7(9) View
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Conference Proceedings

  1. Huotala A, Kuutila M, Ralph P, Mäntylä M. Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering. The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews View
  2. Felizardo K, Lima M, Deizepe A, Conte T, Steinmacher I. Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. ChatGPT application in Systematic Literature Reviews in Software Engineering: an evaluation of its accuracy to support the selection activity View
  3. Sandner E, Hu B, Simiceanu A, Fontana L, Jakovljevic I, Henriques A, Wagner A, Gütl C. 2024 2nd International Conference on Foundation and Large Language Models (FLLM). Screening Automation for Systematic Reviews: A 5-Tier Prompting Approach Meeting Cochrane’s Sensitivity Requirement View
  4. Rahman M, Al-Hazzaa S. GLOBECOM 2024 - 2024 IEEE Global Communications Conference. Next-Generation Virtual Hospital: Integrating Discriminative and Large Multi-Modal Generative AI for Personalized Healthcare View
  5. Ogdu C, Gurbuz S, Karakose M, Hanoglu E. 2025 29th International Conference on Information Technology (IT). Medical Implications of LLM Based Clinical Decision Support Systems in Healthcare View
  6. Mao X, Leelanupab T, Potthast M, Scells H, Zuccon G. Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. AiReview: An Open Platform for Accelerating Systematic Reviews with LLMs View
  7. Soprano M, Modha S, Roitero K, Maddalena E, Viviani M, Pasi G, Mizzaro S. Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR). AIDME: A Scalable, Interpretable Framework for AI-Aided Scoping Reviews View