ArticleEnvironmental health insights2023
Potential Use of Artificial Intelligence (AI) in Disaster Risk and Emergency Health Management: A Critical Appraisal on Environmental Health.
Article in Environmental health insights, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- AI applications in disaster governance with health approach: A scoping review.Archives of public health = Archives belges de sante publique · 2025Pooled it
- Design, Facilitation, and Evaluation of Tabletop Exercises for Prehospital Mass Casualty Preparedness: Scoping Review.Interactive journal of medical research · 2026Review
- Generative AI in healthcare: redefining clinical practice through digital transformation.Health economics review · 2026Article
- Application of Artificial Intelligence in analysing meteorological data for health research: A rapid review.Air quality, atmosphere, & health · 2026Review
- Flood hazard assessment and zonal prioritization through an LR-bipolar triangular fuzzy hybrid decision-making approach.Frontiers in artificial intelligence · 2026Article
- AI in humanitarian healthcare: a game changer for crisis response.Frontiers in artificial intelligence · 2025Review
- Article
- Impact of Artificial Intelligence (AI) Technology in Healthcare Sector: A Critical Evaluation of Both Sides of the Coin.Clinical pathology (Thousand Oaks, Ventura County, Calif.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The risk evaluation of natural disasters is an obstacle to ensuring healthcare services during catastrophic events worldwide. Therefore, timely and appropriate environmental health risk evaluation is essential. In this study, we incorporated the information from databases such as PubMed, Google Scholar, and Scopus. We performed this study to explore the feasibility of using artificial intelligence (AI) in disaster risk and emergency health management. Natural disasters have some phenomenon that is bound to happen. So, we can use AI to inform healthcare authorities about environmental health risks and emergency medical management. The recent innovations in technology have created novel opportunities for improving healthcare services across the world. AI technology would be the backbone of the fourth industrial revolution because we are entering an AI-based world this decade. Therefore, we suggest the authorities consider this positive aspect of AI technology to minimize the disastrous outcomes of any catastrophic events.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.