The Promise of Artificial Intelligence to Aid in Systematic Reviews: An Examination of Scopus AI - Summary - MDSpire

The Promise of Artificial Intelligence to Aid in Systematic Reviews: An Examination of Scopus AI

  • By

  • Lydia T. Madsen

  • John C. Carter

  • Sheeba Cantanelli

  • Christine Hong

  • Angela F. Bazzell

  • March 4, 2026

  • 13 min

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Objective:

To familiarize advanced practice providers (APPs) with Scopus AI and its capabilities in optimizing systematic review methodologies, highlighting specific benefits such as improved search efficiency and accuracy.

Key Findings:
  • The number of systematic reviews in oncology has significantly increased, with 44% published from 2020 to 2024.
  • AI tools like Scopus AI can optimize literature searches and improve the efficiency of systematic reviews, as evidenced by specific case studies.
  • Scopus AI provides features such as natural language processing, search string generation, and result summarization, enhancing the review process.
Interpretation:

The integration of AI in systematic reviews can enhance the efficiency and quality of literature searches, significantly aiding APPs in making evidence-based decisions.

Limitations:
  • Concerns about the appropriateness, transparency, and trustworthiness of AI methods, which have led to hesitance in adoption.
  • Need for guidance on presenting AI-informed evidence, as current practices may not adequately address these concerns.
Conclusion:

Scopus AI represents a promising tool for APPs in oncology, facilitating better access to relevant literature and supporting clinical decision-making, ultimately improving patient outcomes.

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