Systematic Literature Review
AI-Assisted, End-to-End
From search to PRISMA export - fully automated.
Connect academic databases, deduplicate across sources, screen abstracts with AI, and export - all from one workspace.
Research Question
How effective is machine learning for clinical prediction in oncology?
How it works
From research question
to screened results
SaiLR handles the mechanical stages so you can focus on interpretation.
Configure Your Protocol
Set up your systematic review in minutes. Define your PICO question, connect databases, and set inclusion/exclusion criteria - all in one guided workspace.
- Connect up to 6 academic databases
- Boolean query builder with live preview
- Reusable saved protocols
Search, Fetch & Deduplicate
SaiLR queries all connected databases in parallel, retrieves full metadata, and automatically removes cross-source duplicates using fuzzy-match algorithms.
- Parallel search across all sources
- Fuzzy-match deduplication by DOI & metadata
- Full dedup audit trail included
Deep learning in oncology: A review
PubMedDeep learning in oncology: A review
arXivAI for cancer detection: Systematic analysis
Semantic ScholarMachine learning clinical trials meta-analysis
SpringerAI Screen & Export
Our LLM reads every abstract and applies your criteria - giving each paper an Include, Maybe, or Exclude verdict with transparent reasoning. Then export PRISMA-ready outputs.
- LLM screening with cited reasoning per paper
- Rule-based override layer for deterministic decisions
- Export as RIS, CSV, or PRISMA flow diagram
Deep Learning for Cancer Prognosis Using EHR Data
Matches all inclusion criteria. RCT, 2022, human.
Attention Mechanisms in Medical Image Transformers
Unclear clinical endpoint. Recommend manual check.
Sentiment Analysis with Traditional ML Approaches
Outside domain scope. Non-clinical.
What's Included
Five stages,
one integrated pipeline
SaiLR covers each stage of a systematic review - from multi-database search through AI screening to PRISMA-compliant export.
Multi-Database Search
One unified query reaches PubMed, arXiv, Semantic Scholar, and Springer simultaneously - no tab-switching required.
AI Screening
Our LLM reads full abstracts and applies your inclusion/exclusion criteria automatically, with transparent reasoning on every decision.
Smart Deduplication
Fuzzy-match dedup across all sources. No more manual cross-database cleanup.
Protocol Generation
Describe your research question. SaiLR drafts Boolean search strings, inclusion/exclusion criteria, and PICO framing automatically.
PRISMA Export
PRISMA flow diagrams, RIS bibliographies, and CSV - publication-ready from day one.
Frequently Asked Questions
Common Questions
Answers to what researchers typically ask before using SaiLR.
Does AI screening replace manual review?
No. SaiLR classifies each paper as Include, Maybe, or Exclude with a written rationale against your criteria. Papers marked Maybe always require your judgment. The tool reduces the volume of papers you need to read manually - it does not make final decisions on your behalf.
AI Screening
Pre-screens & drafts reasoning
Human Overrides
Maintains full visual control
Final Decision
Ensures absolute systematic rigor
No. SaiLR classifies each paper as Include, Maybe, or Exclude with a written rationale against your criteria. Papers marked Maybe always require your judgment. The tool reduces the volume of papers you need to read manually - it does not make final decisions on your behalf.
AI Screening
Pre-screens & drafts reasoning
Human Overrides
Maintains full visual control
Final Decision
Ensures absolute systematic rigor
Request Access
SaiLR is currently available to a small group of researchers by invitation. Leave your details and we'll be in touch.
No account required to request access. We'll reach out via email.