AI to Quantify Air Pollution's Link to Acute Hospital Admissions in New Delhi
Aether 360 to Unmask the Hidden Health Crisis: AI to Quantify Air Pollution’s Link to Acute Hospital Admissions in New Delhi Aether 360 is a self-initiated Proof-of-Concept (PoC) project which aims to develop the world’s first Artificial Intelligence (AI) model capable of calculating the Attribution Rate (A-Rate). The A-Rate quantifies the probability that a patient’s acute respiratory or cardiac hospital admission is directly caused by a recent spike in air pollution. The project introduces a novel, quantifiable metric for health agencies and governments to measure the true public health burden of air pollution. This is an AI-driven Clinical Decision Support System (CDSS) Augment. Rakesh Raman
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-10-29
- DOI
- https://doi.org/10.5281/zenodo.17474704
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00