AI to Quantify Air Pollution's Link to Acute Hospital Admissions in New Delhi
Year: 2025
Type: article
Abstract: 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
Author: Raman, Rakesh
Language: English
Subfield: Health, Toxicology and Mutagenesis
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7102404830
FWCI:
Cites:
Cited by:
Related to: