Evidence map›Paper›PMID 42050647›Full record

ArticleBMC proceedings2026

Proceedings from the CIH

Martha Chipinduro, Patrícia Ramgi, Julieth Lalashowi, Lalem Belay, Surafel Worku Megersa, Temesgen Chala, Dawit Ejigu, Eyob Abera, Shambhunath Mohan, Michael Montgomery and 5 more

Abstract read
In one paragraph

Article in BMC proceedings, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Martha ChipinduroTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany. Martha.Chipinduro@lrz.uni-muenchen.de.
Patrícia RamgiTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.
Julieth LalashowiTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.
Lalem BelayTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.
Surafel Worku MegersaTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.
Temesgen ChalaTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.
Dawit EjiguTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.
Eyob AberaTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.
Shambhunath MohanTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.
Michael MontgomeryTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.
Lidia VeliaminovaTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.
Given ChiumyaTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.
Adea BorovaTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.
Vahuka ValiyakathTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.
Guenter FroeschlTeaching & Training Unit, Institute of Infectious Diseases and Tropical Medicine, University Hospital, LMU, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of Artificial Intelligence (AI) is rapidly advancing, and AI tools are being integrated into many aspects of daily life, including medical care and public health. The full extent to which AI related tools can be implemented in order to strengthen health systems are a matter of continued debate. The Center for International Health at Ludwig-Maximilians-Universität's (CIH

Indexed as

Artificial intelligenceDigital healthHealth system strengtheningOne healthStudent initiative

Identifiers

PMID42050647
PMCPMC13126755

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.