Evidence map›Paper›PMID 40690151›Full record

ArticleIrish journal of medical science2025

Dr AI will see you now: could artificial intelligence replace general practitioners?

Thomas Cronin, John Travers

Abstract read
PubMed Publisher
In one paragraph

Article in Irish journal of medical science, 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.

Thomas CroninIrish College of General Practitioners/Discipline of Public Health and Primary Care, School of Medicine, Trinity College Dublin, Dublin, Ireland. cronin.thomas.c@gmail.com.ORCID http://orcid.org/0000-0001-9522-3992
John TraversDiscipline of Public Health and Primary Care, School of Medicine, Trinity College Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is a rapidly advancing field aiming to replicate human intelligence in performing complex tasks. Whilst AI is having significant impacts on technology-driven medical specialties like radiology and pathology, its integration into general practice remains limited. This essay explores AI's historical evolution, its applications in healthcare, and potential to replace general practitioners (GPs). Research and development have shown promise for AI's use in triage, risk profiling, and mental health support in the primary care setting. Nevertheless, AI faces challenges with data privacy concerns, diagnostic errors, and the potential loss of human connection. Continuity of care, relational communication, and GPs' intuitive decision-making remain central to effective patient care, aspects that are challenging for AI to replicate. Although AI could make positive contributions to general practice, its ability to replace GPs entirely seems unlikely due to the inherently human nature of empathetic and personalised care.

Indexed as

Artificial IntelligenceGeneral PracticeGeneral PractitionersHumansArtificial intelligenceDoctorsGeneral practicePrimary care

Identifiers

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.