Systematic Literature Review
AI-Assisted, End-to-End

SaiLR connects to academic databases, removes cross-source duplicates, applies AI screening to each abstract, and produces PRISMA-ready exports — all from one workspace.

PubMed
arXiv
Semantic Scholar
Springer Nature
BASE
OpenAlex
PRISMA-ready exports
Workspace / Systematic Review

1. Search

PubMed
Connected
Semantic Scholar
Connected
arXiv
Keywords
machine learningoncology

2. Deduplicate

2,431
Total imported
-817
Duplicates removed
Auto-merged
1,614
Unique records

3. Screen

1,191 left
INCLUDE

Deep Learning Approaches for Predictive Modeling in Clinical Oncology: A Comprehensive Review

AI: Matches inclusion criteria (ML + Oncology)
MAYBE

Attention Mechanisms in Transformer Models for Medical Image Analysis

AI: Unclear clinical context. Manual review needed.
4. PRISMA Export Ready
Download RIS/CSV
Workflow

From research question
to screened results

SaiLR handles the mechanical stages so you can focus on interpretation.

Step 01

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.

4 databases
Boolean query builder
Saved protocols
SailR / Workspace
"machine learning" AND "clinical oncology"
PubMed
1.2M
arXiv
890K
Semantic Scholar
650K
Springer
420K
Inclusion Criteria
RCT studies
2015–2024
English only
Human subjects
Step 02

Search, Fetch & Deduplicate

SailR queries all connected databases in parallel, retrieves full metadata, and automatically removes cross-source duplicates using fuzzy-match algorithms.

Fuzzy deduplication
Auto-merge records
Dedup across all sources
SailR / Workspace
Deduplication Engine
Running

Deep learning in oncology: A review

PubMed

Deep learning in oncology: A review

arXiv

AI for cancer detection: Systematic analysis

Semantic Scholar

Machine learning clinical trials meta-analysis

Springer
2,431
Imported
−817
Duplicates
1,614
Unique
Step 03

AI 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-powered screening
Transparent reasoning
RIS · CSV · PRISMA
SailR / Workspace
AI Screening Queue
423 left
INCLUDE

Deep Learning for Cancer Prognosis Using EHR Data

Matches all inclusion criteria. RCT, 2022, human.

MAYBE

Attention Mechanisms in Medical Image Transformers

Unclear clinical endpoint. Recommend manual check.

EXCLUDE

Sentiment Analysis with Traditional ML Approaches

Outside domain scope. Non-clinical.

PRISMA Export Ready
Flow diagram · RIS · CSV
Download
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.

Search

Multi-Database Search

One unified query reaches PubMed, arXiv, Semantic Scholar, and Springer simultaneously : no tab-switching required.

PubMed1.2M
arXiv890K
Semantic Scholar650K
Springer420K
AI

AI Screening

Our LLM reads full abstracts and applies your inclusion/exclusion criteria automatically, with transparent reasoning on every decision.

INCLUDEMatches all criteria
MAYBENeeds manual review
EXCLUDEOut of scope
Dedup

Smart Deduplication

Fuzzy-match deduplication across all sources. No more manual cross-database cleanup.

BeforeAfter
2,431
Total results
1,614
Unique papers
817 duplicates auto-removed
Protocol

Protocol Generation

Describe your research question. SaiLR drafts Boolean search strings, inclusion/exclusion criteria, and PICO/PECO framing automatically.

“What is the effectiveness of LLMs in automating systematic reviews?”
Generated
Search string
(LLM OR "large language model") AND "systematic review"
Inclusion
Peer-reviewed · 2018–2024 · English
Framework
P: Reviewers · I: LLM automation · O: Efficiency
Export

PRISMA Export

One-click PRISMA-compliant flow diagrams, RIS bibliographies, and CSV datasets : publication-ready from day one.

PRISMA Flow
CSV Export
RIS Export
FAQ

Common Questions

Answers to what researchers typically ask before using SaiLR.

Research Beta

Request Beta Access

SaiLR is currently available to a small group of researchers by invitation. Leave your details and we'll be in touch.

No account created automatically. We review each request individually.