drjforrest/africa-ai-trials.net

A public repository for an academic project investigating the network characteristics of AI diagnostic trials in Africa and the innovation ecosystem they represent. # AI Diagnostic Innovation Network in Sub-Saharan Africa Network analysis of clinical trials evaluating artificial intelligence diagnostic technologies in Sub-Saharan Africa. ## Overview This repository contains data, analysis code, and results for a network analysis of AI diagnostic clinical trials in Sub-Saharan Africa. The analysis examines the institutional relationships, network structure, and ecosystem characteristics of this emerging field. **Dataset:** N=11 verified AI diagnostic clinical trials (2020-2024) **Network:** 47 nodes (11 trials + 36 institutions), 99 edges **Countries:** 10 Sub-Saharan African countries ## Repository Structure ``` . ├── data/ │ ├── raw/ # Original registry extractions (individual trial CSVs) │ └── processed/ # Clean, analysis-ready datasets │ ├── trials_N11.csv │ ├── institutions_N11.csv │ └── edges_N11.csv ├── analysis/ │ ├── 01_calculate_centrality.py # Network centrality analysis │ └── run_all_analysis.py # Master pipeline ├── results/ │ ├── figures/ # Publication figures │ │ ├── figure_1_network.png │ │ ├── figure_2_geographic.png │ │ ├── figure_3_temporal.png │ │ └── supplementary/ # Supplementary figures │ └── tables/ # Publication tables │ ├── table_1_trials.csv │ ├── table_2_metrics.csv │ └── supplementary/ # Supplementary tables ├── web_interface/ # Next.js interactive visualization app │ ├── src/ # Next.js source code │ │ ├── app/ # App router pages │ │ ├── components/ # React components │ │ └── data/ # Data files │ ├── scripts/ # Data processing scripts │ └── package.json ├── docs/ # Documentation │ ├── SEARCH_STRATEGIES.md │ ├── DATA_EXTRACTION_PROTOCOL.md │ ├── ANALYSIS_GUIDE.md │ └── SUPPLEME …