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A Hybrid Delphi-Inspired Expert-LLM Workflow for Efficient Evidence Screening in Systematic Reviews.

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Title: A Hybrid Delphi-Inspired Expert-LLM Workflow for Efficient Evidence Screening in Systematic Reviews.
Authors: Pournik O; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, UK., Watts E; Department of Applied Health Sciences, University of Birmingham, UK.; Department of Otolaryngology and Head and Neck Surgery, University Hospitals Birmingham, UK., Richards E; Department of Otolaryngology and Head and Neck Surgery, University Hospitals Birmingham, UK., Boelaert K; Department of Applied Health Sciences, University of Birmingham, UK.; Department of Endocrinology, University Hospitals Birmingham., Sharma N; Department of Otolaryngology and Head and Neck Surgery, University Hospitals Birmingham, UK., Abbasi SF; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, UK., Ding X; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, UK., Ghalichi L; Department of Applied Health Sciences, University of Birmingham, UK., Arvanitis TN; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, UK.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 670-674.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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              Text: 2026 May 21
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