Systematic Review Assistance with AI

Systematic Review Assistance with AI

The Systematic Review Bottleneck

Systematic reviews are the highest level of clinical evidence, but they are enormously labor-intensive. A typical review involves screening hundreds to thousands of titles and abstracts, extracting data from dozens of included studies, and assessing risk of bias. AI can accelerate each of these phases while you maintain methodological oversight.

Phase 1: Title/Abstract Screening

After your search returns results, screening is the most time-consuming step. AI can serve as a first-pass screener:

PROMPT TEMPLATE: Screening Criteria Application

I am conducting a systematic review. Please evaluate the
following title and abstract against my inclusion/exclusion
criteria.

INCLUSION CRITERIA:
1. [Population criterion — e.g., adults over 18 with Type 2 DM]
2. [Intervention criterion — e.g., SGLT2 inhibitors]
3. [Comparison criterion — e.g., any active comparator or placebo]
4. [Outcome criterion — e.g., cardiovascular mortality]
5. [Study design criterion — e.g., RCTs only]

EXCLUSION CRITERIA:
1. [e.g., pediatric populations]
2. [e.g., animal studies]
3. [e.g., conference abstracts without full text]
4. [e.g., non-English language]