Autor: |
Lixia Ge, Rupesh Agrawal, Maxwell Singer, Palvannan Kannapiran, Joseph Antonio De Castro Molina, Kiok Liang Teow, Chun Wei Yap, John Arputhan Abisheganaden |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
Systematic Reviews, Vol 13, Iss 1, Pp 1-7 (2024) |
Druh dokumentu: |
article |
ISSN: |
2046-4053 |
DOI: |
10.1186/s13643-024-02682-2 |
Popis: |
Abstract Artificial Intelligence (AI) is transforming systematic reviews (SRs) in health research by automating processes such as study screening, data extraction, and quality assessment. This perspective highlights recent advancements in AI tools that enhance efficiency and accuracy in SRs. It discusses the benefits, challenges, and future directions of AI integration, emphasising the need for human oversight to ensure the reliability of AI outputs in evidence synthesis and decision-making in healthcare. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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