AIM Review

Profile

Manage your projects.

Create, share, or delete cloud projects

Projects

0 of 2 owned cloud projects

Loading projects

Connecting to your AIM Review account.

Project setup

Load references into an empty project

Import Excel, CSV, RIS, PubMed/NBIB, or labelling snapshot files. The same parser used by the pro web app cleans empty entries and duplicates before saving.

Owned projects

Choose where to load

Screening

Label project records

Open an owned or shared project, label the selected records, write notes, and save progress back to the same cloud project.

Projects

Open for labelling

Review agreement

Collect and resolve shared screenings

For owned cloud projects with accepted collaborators, collect saved screenings, inspect agreement, and resolve conflicting records.

Owned projects

Build agreement

Automatic screening

ML prediction

Projects

Choose labelled data

Application settings

Configuration

1x
Dark mode

Text highlights

Custom

Machine learning

ML Config.

ML method

Used by active learning and ML prediction.

Active learning runs locally in this browser and uses all available relevant and irrelevant labels.

More advanced methods

Sentence transformers, deep-learning models, and large language models are available in the pro application.

Help and workflow

Documentation

About AIM Review

AIM Review provides lightweight machine learning methods to speed up systematic review screening. The app was developed by the Artificial Intelligence in Mental Health lab at King's College London.

AIM lab Publication

Labelling

Swipe left or right to label, and up or down to browse records. Active learning prioritises unlabelled records using all available labels.

Agreement

Use Agreement after two or more users have fully labelled a shared cloud project. Swipe left or right to resolve labels, and up or down to browse.

Reporting

Methods sections should specify the software name and access date, text fields used as input, vectorisation method, classifier and key hyperparameters, and how algorithm outputs guided or replaced manual decisions.

Privacy, copyright and terms

AIM Review works locally unless you choose to log in. Signed-in data is used for authentication, session management, and saving progress in Firebase Storage. AIM Review App. Copyright (C) 2026 Sergio Mena Ortega, Paris Alexandros Lalousis & Nikolaos Koutsouleris.