Evidence map›Paper›PMID 38485268›Full record

ReviewFamily medicine and community health2024

Implications of conscious AI in primary healthcare.

Dorsai Ranjbari, Samira Abbasgholizadeh Rahimi

Open access · diamondAbstract readReview
In one paragraph

Review in Family medicine and community health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Use of AI in Family Medicine Publications: A Joint Editorial from Journal Editors.Journal of the American Board of Family Medicine : JABFM · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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 at 1 institution in 1 country.

Dorsai RanjbariMcGill University Faculty of Medicine and Health Sciences, Montreal, Quebec, Canada.
Samira Abbasgholizadeh RahimiFamily Medicine, Faculty of Medicine and Health Sciences and Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Quebec, Canada samira.rahimi@mcgill.ca.ORCID 0000-0003-3781-1360
McGill University Health Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The conversation about consciousness of artificial intelligence (AI) is an ongoing topic since 1950s. Despite the numerous applications of AI identified in healthcare and primary healthcare, little is known about how a conscious AI would reshape its use in this domain. While there is a wide range of ideas as to whether AI can or cannot possess consciousness, a prevailing theme in all arguments is uncertainty. Given this uncertainty and the high stakes associated with the use of AI in primary healthcare, it is imperative to be prepared for all scenarios including conscious AI systems being used for medical diagnosis, shared decision-making and resource management in the future. This commentary serves as an overview of some of the pertinent evidence supporting the use of AI in primary healthcare and proposes ideas as to how consciousnesses of AI can support or further complicate these applications. Given the scarcity of evidence on the association between consciousness of AI and its current state of use in primary healthcare, our commentary identifies some directions for future research in this area including assessing patients', healthcare workers' and policy-makers' attitudes towards consciousness of AI systems in primary healthcare settings.

Indexed as

Artificial IntelligenceConsciousnessDelivery of Health CareHealth PersonnelHumansPrimary Health CareCommunity-Based Participatory ResearchHealth Knowledge, Attitudes, PracticeIntegrative MedicineMedical InformaticsPrimary Health Care

Identifiers

PMID38485268
PMCPMC10941173
OpenAlexW4394760697

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.