Evidence map›Paper›PMID 38849691›Full record

ArticleAnnals of biomedical engineering2024

The Future Role of Radiologists in the Artificial Intelligence-Driven Hospital.

Sam Sedaghat

Abstract readLetter
In one paragraph

Article in Annals of biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

1 author.

Sam SedaghatDepartment of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany. samsedaghat1@gmail.com.ORCID http://orcid.org/0000-0003-2804-3718

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing population and healthcare costs make changes in the healthcare system necessary. This article deals with ChatGPT's perspective on the future role of radiologists in the AI-driven hospital. This perspective will be augmented by further considerations by the author. AI-based imaging technologies and chatbots like ChatGPT can help improve radiologists' performance and workflow in the future AI-driven hospital. Although basic radiological examinations could be delivered without needing a radiologist, sophisticated imaging procedures will still need the expert opinion of a radiologist.

Indexed as

Artificial IntelligenceRadiologistsHospitalsHumansArtificial intelligenceChatGPTHospitalImagingMedicineRadiology

Identifiers

PMID38849691
PMCPMC11329399

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.