Evidence map›Paper›PMID 40067435›Full record

ArticlePflugers Archiv : European journal of physiology2025

Special issue European Journal of Physiology: Artificial intelligence in the field of physiology and medicine.

Anika Westphal, Ralf Mrowka

Abstract readEditorial
In one paragraph

Article in Pflugers Archiv : European journal of physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Anika WestphalThüringer Innovationszentrum Für Medizintechniklösungen (Thimedop), Universitätsklinikum Jena, Jena, Germany.ORCID 0000-0002-9626-2624
Ralf MrowkaThüringer Innovationszentrum Für Medizintechniklösungen (Thimedop), Universitätsklinikum Jena, Jena, Germany. ralf.mrowka@med.uni-jena.de.ORCID 0000-0002-0991-3418

Funding

Thüringer Aufbaubank 2018 IZN 0002 (Thimedop)
6 · The paper itself

Abstract

This special issue presents a collection of reviews on the recent advancements and applications of artificial intelligence (AI) in medicine and physiology. The topics covered include digital histopathology, generative AI, explainable AI (XAI), and ethical considerations in AI development and implementation. The reviews highlight the potential of AI to transform medical diagnostics, personalized medicine, and clinical decision making, while also addressing challenges such as data quality, interpretability, and trustworthiness. The contributions demonstrate the growing importance of AI in physiological research and medicine, the need for multi-level ethics approaches in AI development, and the potential benefits of generative AI in medical applications. Overall, this special issue showcases some of the the pioneering aspects of AI in medicine and physiology, covering technical, applicative, and ethical viewpoints, and underlines the remarkable impact of AI on these fields.

Indexed as

Artificial IntelligencePhysiologyAnimalsHumansPrecision MedicineArtificial intelligenceEthics of AIExplainable AIHistopathology

Identifiers

PMID40067435
PMCPMC11958393

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.