AI in Radiological Imaging of STBT

This repository contains all the underlying data for the systematic review:

Spaanderman, D. J., Marzetti, M., Wan, X., Scarsbrook, A. F., Robinson, P., Oei, E. H., ... & Starmans, M. (2024). AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines. arXiv preprint arXiv:2408.12491.

Interactive viewing

Data can be interactively viewed on github pages.

Development

1. Clone this repository (in the command line)

git clone [email protected]:Douwe-Spaanderman/AI-STTandBoneTumour-Review.git
cd AI-STTandBoneTumour-Review

2. Run it

You can run this locally using this handy python command:

python -m SimpleHTTPServer

...or with Python 3:

python -m http.server

navigate to http://localhost:8000/

Dependencies

• Bootstrap 4 - Responsive HTML, CSS and Javascript framework
• jQuery - a fast, small, and feature-rich JavaScript library
• jQuery CSV - Parse CSV (Comma Separated Values) to Javascript arrays or dictionaries.
• DataTables - add advanced interaction controls to any HTML table.