TRANSFORMING SYSTEMATIC LITERATURE REVIEWS: UNLEASHING THE POTENTIAL OF GPT-4: A CUTTING-EDGE LARGE LANGUAGE MODEL, TO ELEVATE RESEARCH SYNTHESIS

被引：0

作者：

Attri, S. ^{[1
]}

Kaur, R. ^{[1
]}

Singh, B. ^{[2
]}

Rai, P. ^{[1
]}

机构：

[1] Pharmacoevidence, Mohali, India

[2] Pharmacoevidence, Sas Nagar Mohali, PB, India

来源：

VALUE IN HEALTH | 2024年 / 27卷 / 06期

关键词：

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

MSR57

引用

页码：S270 / S270

页数：1

共 5 条

[1] REVOLUTIONIZING SYSTEMATIC LITERATURE REVIEWS: HARNESSING THE POWER OF LARGE LANGUAGE MODEL (GPT-4) FOR ENHANCED RESEARCH SYNTHESIS
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VALUE IN HEALTH, 2024, 27 (06) : S262 - S262
[2] The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant
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[3] ADVANCING SYSTEMATIC LITERATURE REVIEWS: A COMPARATIVE ANALYSIS OF LARGE LANGUAGE MODELS (CLAUDE SONNET 3.5, GEMINI FLASH 1.5, AND GPT-4) IN THE AUTOMATION ERA OF GENERATIVE AI
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VALUE IN HEALTH, 2024, 27 (12)
[4] Can large language models replace humans in systematic reviews? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages
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[5] Human-Comparable Sensitivity of Large Language Models inIdenti fying Eligible Studies Through Title and Abstract Screening:3-Layer Strategy Using GPT-3.5 and GPT-4 for Systematic Reviews
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JOURNAL OF MEDICAL INTERNET RESEARCH, 2024, 26

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