The Heap, the Hype, the Reality: Generative Pretrained Transformer for Systematic Reviews-Reference-Cited by-同舟云学术

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The Heap, the Hype, the Reality: Generative Pretrained Transformer for Systematic Reviews

Published:2024-06 Issue:6 Volume:177 Page:828-829
ISSN:0003-4819
Container-title:Annals of Internal Medicine
language:en
Short-container-title:Ann Intern Med

Author:

Li Tianjing¹^ORCID,Chang Stephanie²

Affiliation:

1. Department of Ophthalmology, School of Medicine, and Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado

2. Annals of Internal Medicine, American College of Physicians, Philadelphia, Pennsylvania

Publisher

American College of Physicians

Link

https://www.acpjournals.org/doi/pdf/10.7326/M24-0877

Reference3 articles.

1. Using text mining for study identification in systematic reviews: a systematic review of current approaches

2. Sensitivity and Specificity of Using GPT-3.5 Turbo Models for Title and Abstract Screening in Systematic Reviews and Meta-analyses

3. Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews

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