# Equity-Aware Geospatial AI for Forecasting Demand-Driven Hospital Locations in Germany

arXiv: https://arxiv.org/abs/2510.10640 · HTML: https://mlsanity.com/paper/2510.10640/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 13 references that are in the map.
- First posted on arXiv 12 Oct 2025.

## Builds on (most cited first, 1 of 1)

- [Improving LLM Safety and Helpfulness using SFT and DPO: A Study on OPT-350M](https://mlsanity.com/paper/2509.09055/) (2025)

## Abstract (arXiv)

This paper presents EA-GeoAI, an integrated framework for demand forecasting and equitable hospital planning in Germany through 2030. We combine district-level demographic shifts, aging population density, and infrastructure balances into a unified Equity Index. An interpretable Agentic AI optimizer then allocates beds and identifies new facility sites to minimize unmet need under budget and travel-time constraints. This approach bridges GeoAI, long-term forecasting, and equity measurement to deliver actionable recommendations for policymakers.