Evidence map›Paper›PMID 38406349›Full record

ArticleIndian journal of anaesthesia2024

Artificial intelligence in regional anaesthesia.

J Balavenkatasubramanian, Senthil Kumar, R D Sanjayan

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of anaesthesia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  9. Reshaping Anesthesia with Artificial Intelligence: From Concept to Reality.Anesthesia and critical care (Houston, Tex.) · 2025
    Article
  10. 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

3 authors at 1 institution in 1 country.

J BalavenkatasubramanianSenior Consultant and Academic Director, Ganga Medical Centre and Hospital Pvt Ltd, Coimbatore, Tamil Nadu, India.ORCID https://orcid.org/0000-0003-2578-0376
Senthil KumarConsultant Anaesthesiologist, Ganga Medical Centre and Hospital Pvt Ltd, Coimbatore, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-2664-2525
R D SanjayanDepartment of Anaesthesia, Ganga Medical Centre and Hospital Pvt Ltd, Coimbatore, Tamil Nadu, India.ORCID https://orcid.org/0009-0002-8274-0784
Ganga Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound-guided regional anaesthesia is used to facilitate the real-time performance of the regional block, increase the block success and reduce the complication rate. Artificial intelligence (AI) has been studied in many medical disciplines with high success rates, especially radiology. The purpose of this article was to review the evolution of AI in regional anaesthesia. The role of AI is to identify and optimise the sonography image, display the target, guide the practitioner to advance the needle tip to the intended target and inject the local anaesthetic. AI supports non-experts in training and clinical practice and experts in teaching ultrasound-guided regional anaesthesia.

Indexed as

Artificial intelligenceregional anaesthesiasonoanatomytrainingultrasound

Identifiers

PMID38406349
PMCPMC10893813
OpenAlexW4390939245

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.