Evidence map›Paper›PMID 34103818›Full record

ReviewJournal of anaesthesiology, clinical pharmacology

Artificial Intelligence and technology in COVID Era: A narrative review.

Vanita Ahuja, Lekshmi V Nair

Registry-linked trialOpen access · diamondAbstract readReview
In one paragraph

Review in Journal of anaesthesiology, clinical pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07005908 (Posture and Musculoskeletal System Disorders in Individuals Who Have Had COVID-19), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 7% 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.

NCT07005908 completednot on this map

Posture and Musculoskeletal System Disorders in Individuals Who Have Had COVID-19

TypeobservationalSponsorIzmir Democracy UniversityRan2023 to 2024Enrolled41ConditionsCOVID-19 Respiratory InfectionArmsPhysical evaluations of post-COVID-19 individuals
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 27 citations in OpenAlex.

  1. Reshaping Anesthesia with Artificial Intelligence: From Concept to Reality.Anesthesia and critical care (Houston, Tex.) · 2025
    Article
  2. Article
  3. Article
  4. Teachers' AI digital competencies and twenty-first century skills in the post-pandemic world.Educational technology research and development : ETR & D · 2023
    Article
  5. Article
  6. Artificial Intelligence and COVID-19: A Systematic umbrella review and roads ahead.Journal of King Saud University. Computer and information sciences · 2022
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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.

Vanita AhujaDepartment of Anaesthesia and Intensive Care, Government Medical College and Hospital, Sector 32 Chandigarh, India.
Lekshmi V NairDepartment of Anaesthesia and Intensive Care, Government Medical College and Hospital, Sector 32 Chandigarh, India.
Government Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Application of artificial intelligence (AI) in the medical field during the coronavirus disease 2019 (COVID-19) era is being explored further due to its beneficial aspects such as self-reported data analysis, X-ray interpretation, computed tomography (CT) image recognition, and patient management. This narrative review article included published articles from MEDLINE/PubMed, Google Scholar and National Informatics Center egov mobile apps. The database was searched for "Artificial intelligence" and "COVID-19" and "respiratory care unit" written in the English language during a period of one year 2019-2020. The relevance of AI for patients is in hands of people with digital health tools, Aarogya setu app and Smartphone technology. AI shows about 95% accuracy in detecting COVID-19-specific chest findings. Robots with AI are being used for patient assessment and drug delivery to patients to avoid the spread of infection. The pandemic outbreak has replaced the classroom method of teaching with the online execution of teaching practices and simulators. AI algorithms have been used to develop major organ tissue characterization and intelligent pain management techniques for patients. The Blue-dot AI-based algorithm helps in providing early warning signs. The AI model automatically identifies a patient in respiratory distress based on face detection, face recognition, facial action unit detection, expression recognition, posture, extremity movement analysis, visitation frequency detection sound pressure, and light level detection. There is now no looking back as AI and machine learning are to stay in the field of training, teaching, patient care, and research in the future.

Indexed as

Artificial Intelligenceclinical researchCOVID-19diagnosisdisease managementteaching

Identifiers

PMID34103818
PMCPMC8174437
OpenAlexW3154246334

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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.