Evidence map›Paper›PMID 41459185›Full record

ArticleEJIFCC2025

A Present Where AI is Enhancing Laboratory Medicine, A Future Where It Redefines Healthcare.

Damien Gruson

Abstract read
In one paragraph

Article in EJIFCC, 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. Review
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

1 author.

Damien GrusonDepartment of Laboratory Medicine, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium.ORCID https://orcid.org/0000-0001-5987-4376

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial Intelligence (AI) has transitioned from a technological concept to a foundational component of healthcare innovation. In laboratory medicine, it is no longer a question of whether AI will play a role, but rather how it will be responsibly integrated to amplify clinical value, operational efficiency, and equitable patient care. This article explores the current and future impact of AI across diagnostic workflows, clinical decision-making, personalized prevention strategies, and hospital governance. It also highlights the ethical, legal, and sustainability considerations critical to ensuring AI supports a smarter, fairer, and more sustainable healthcare system.

Indexed as

Artificial intelligenceautomationclinical decision support systemequitysustainabilityworkflow

Identifiers

PMID41459185
PMCPMC12743344

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.