The Promise of Artificial Intelligence to Aid in Systematic Reviews: An Examination of Scopus AI
AI tools such as Scopus AI can aid APP researchers and clinicians to streamline specific aspects such as the initial tasks and literature search steps of the systematic review development process.
By
Lydia T. Madsen
John C. Carter
Sheeba Cantanelli
Christine Hong
Angela F. Bazzell
March 4, 2026
Clinical Scorecard: The Promise of Artificial Intelligence to Aid in Systematic Reviews: An Examination of Scopus AI
At a Glance
Category Detail
Condition Systematic Reviews in Oncology Key Mechanisms Integration of AI to optimize literature search methodologies and streamline systematic review processes. Target Population Advanced Practice Providers (APPs) in oncology. Care Setting Clinical practice and research environments.
Key Highlights
Significant increase in systematic reviews related to cancer over the past 20 years. AI tools like Scopus AI can enhance the efficiency of literature searches. AI methods can reveal patterns in large datasets not readily apparent to human analysts. Scopus AI offers natural language processing capabilities for literature queries. Comparative studies show AI tools can match human evaluators in article selection accuracy. Guideline-Based Recommendations
Diagnosis
Utilize systematic reviews to inform clinical decision-making. Management
Incorporate AI tools to streamline the systematic review process. Monitoring & Follow-up
Assess the appropriateness and transparency of AI-generated evidence. Risks
Consider concerns regarding the trustworthiness of AI methods. Patient & Prescribing Data
Patients undergoing oncology treatment.
AI can assist in identifying relevant literature to guide treatment decisions.
Clinical Best Practices
Employ AI tools like Scopus AI for efficient literature searches. Ensure systematic reviews are based on peer-reviewed literature. Balance the benefits of AI with concerns about data transparency. References
