Evidence map›Paper›PMID 31043176›Full record

ArticleInternational journal of health geographics2019

An overview of GeoAI applications in health and healthcare.

Maged N Kamel Boulos, Guochao Peng, Trang VoPham

Abstract readEditorial
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of health geographics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

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  6. The generative revolution: a brief introduction.International journal of health geographics · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Maged N Kamel BoulosSchool of Information Management, Sun Yat-sen University, East Campus, Guangzhou, 510006, Guangdong, China. mnkboulos@mail.sysu.edu.cn.ORCID 0000-0003-2400-6303
Guochao PengSchool of Information Management, Sun Yat-sen University, East Campus, Guangzhou, 510006, Guangdong, China.
Trang VoPhamChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Ave, Boston, MA, 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The moulding together of artificial intelligence (AI) and the geographic/geographic information systems (GIS) dimension creates GeoAI. There is an emerging role for GeoAI in health and healthcare, as location is an integral part of both population and individual health. This article provides an overview of GeoAI technologies (methods, tools and software), and their current and potential applications in several disciplines within public health, precision medicine, and Internet of Things-powered smart healthy cities. The potential challenges currently facing GeoAI research and applications in health and healthcare are also briefly discussed.

Indexed as

Artificial IntelligenceDelivery of Health CareGeographic Information SystemsHumansPrecision MedicinePublic HealthArtificial intelligenceBig dataDeep learningGeoAIGeomedicineGISHealthHealthcareInternet of ThingsMachine learningPrecision medicinePublic healthSmart healthy cities

Identifiers

PMID31043176
PMCPMC6495523

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.