Evidence map›Paper›PMID 39182574›Full record

ArticleChest2025

Advancing Point-of-Care Testing by Application of Machine Learning Techniques and Artificial Intelligence.

Craig M Lilly, Apurv V Soni, Denise Dunlap, Nathaniel Hafer, Mary Ann Picard, Bryan Buchholz, David D McManus

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chest, 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

7 authors.

Craig M LillyDepartment of Medicine, UMass Chan Medical School, Worcester, MA; Department of Anesthesiology and Department of Surgery, UMass Chan Medical School, Worcester, MA; Graduate School of Biomedical Sciences, UMass Chan Medical School, Worcester, MA; UMass Memorial Health, Worcester, MA. Electronic address: craig.lilly@umassmed.edu.
Apurv V SoniDepartment of Medicine, UMass Chan Medical School, Worcester, MA; UMass Memorial Health, Worcester, MA.
Denise DunlapUniversity of Massachusetts Lowell, Lowell, MA; Manning School of Business, University of Massachusetts Lowell, Lowell, MA; Center for Clinical and Translational Science, UMass Chan Medical School, Worcester, MA.
Nathaniel HaferGraduate School of Biomedical Sciences, UMass Chan Medical School, Worcester, MA; Program in Molecular Medicine, UMass Chan Medical School, Worcester, MA.
Mary Ann PicardUniversity of Massachusetts Lowell, Lowell, MA; Department of Bioengineering, University of Massachusetts Lowell, Lowell, MA.
Bryan BuchholzUniversity of Massachusetts Lowell, Lowell, MA; Department of Bioengineering, University of Massachusetts Lowell, Lowell, MA.
David D McManusDepartment of Medicine, UMass Chan Medical School, Worcester, MA; UMass Memorial Health, Worcester, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The promise of artificial intelligence has generated enthusiasm among patients, health care professionals, and technology developers who seek to leverage its potential to enhance the diagnosis and management of an increasing number of chronic and acute conditions. Point-of-care testing increases access to care because it enables care outside of traditional medical settings. Collaboration among developers, clinicians, and end users is an effective best practice for solving clinical problems. A common set of clearly defined terms that are easily understood by research teams is a valuable tool that fosters these collaborations.

Indexed as

Artificial IntelligenceMachine LearningPoint-of-Care TestingHumansPoint-of-Care Systemscomputer-assisteddecision-makingdecision treedeep learninginformatics

Identifiers

PMID39182574
PMCPMC13672850

What OpenQuestion holds

Textmetadata
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.