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LLM-Assisted Systematic Literature Review System


Description

A five-module system using large language models to conduct systematic literature reviews in health technology assessment (HTA) submissions. The system includes literature search query setup, study protocol setup using PICOs criteria, LLM-assisted abstract screening, LLM-assisted data extraction, and data summarization with human-in-the-loop design.

Market positioning

Academic research tool for systematic literature reviews in healthcare

Target audience

Medical researchers, clinicians, health technology assessment professionals, and systematic review authors

Use cases

Conducting systematic literature reviews in health technology assessment (HTA) submissions using AI-assisted methodology

Company information

Company size

<UNKNOWN>

Revenue

<UNKNOWN>

Scale

Academic/Research

Number of users

<UNKNOWN>

Features

Five-module system including: Literature search query setup, Study protocol setup using PICOs criteria, LLM-assisted abstract screening, LLM-assisted data extraction, Data summarization with human-in-the-loop design, Integration with PubMed abstracts, Performance evaluation across multiple medical domains, Real-time PICOs criteria adjustment, Disagreement tracking between LLM and human reviewers

Pricing

Pricing modelInternal/proprietary (not commercially available)
Starting price<UNKNOWN>
Billing period<UNKNOWN>

Rating

<UNKNOWN>

No Trustpilot link available

Pros and cons

Based on: (AI summary)

Pros

  • High performance with 90% sensitivity and 89% accuracy
  • Substantial agreement with human reviewers (Cohen's κ of 0.71)
  • Human-in-the-loop design for quality control
  • Real-time criteria adjustment capability
  • Validated across multiple medical domains

Cons

  • Still requires human oversight and validation
  • Performance may vary across different medical specialties
  • Dependent on quality of PubMed abstracts
  • May have limitations in handling complex medical terminology
  • Requires technical expertise to implement and maintain

Feature Comparison

Top features across 8 competitors (most common first)

Feature PubMedMACg PubMed…Cochrane Li…MEDLINEPubMed LabsLLM-Assiste…Google Scho…LITERAS: Bi…
Advanced search filters
Author name disambiguation
Best Match relevance ranking algorithm
Default reverse chronological sorting
Faceted search capabilities
Full text access to 4+ million articles
Mobile-optimized interface
Query auto-suggest functionality
Boolean logic operators support
Integration with PMC full-text articles
Advanced Editor with Word/PDF export
AI Writing Assistant
Automatic citations (AMA/APA/MLA)
Boolean logic optimization
De-duplication
Evidence tables
MeSH expansion
Natural-language search
Reference Manager
Slide generator