Evidence map›Paper›PMID 37623465›Full record

ReviewJournal of personalized medicine2023

Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare.

Diana Gina Poalelungi, Carmina Liana Musat, Ana Fulga, Marius Neagu, Anca Iulia Neagu, Alin Ionut Piraianu, Iuliu Fulga

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
–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

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Vocal Cord Dysfunction: Evaluating the Utility of AI Large Language Models for Patient Education.World journal of otorhinolaryngology - head and neck surgery · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Preparing Allergists to Practice in 2050 Using Artificial Intelligence.The journal of allergy and clinical immunology. In practice · 2025
    Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

7 authors.

Diana Gina PoalelungiSaint Apostle Andrew Emergency County Clinical Hospital, 177 Brailei st., 800578 Galati, Romania.
Carmina Liana MusatSaint Apostle Andrew Emergency County Clinical Hospital, 177 Brailei st., 800578 Galati, Romania.
Ana FulgaSaint Apostle Andrew Emergency County Clinical Hospital, 177 Brailei st., 800578 Galati, Romania.
Marius NeaguSaint Apostle Andrew Emergency County Clinical Hospital, 177 Brailei st., 800578 Galati, Romania.
Anca Iulia NeaguFaculty of Medicine and Pharmacy, Dunarea de Jos University of Galati, 35 AI Cuza st., 800010 Galati, Romania.ORCID 0000-0002-6473-3890
Alin Ionut PiraianuSaint Apostle Andrew Emergency County Clinical Hospital, 177 Brailei st., 800578 Galati, Romania.ORCID 0000-0001-9664-2128
Iuliu FulgaSaint Apostle Andrew Emergency County Clinical Hospital, 177 Brailei st., 800578 Galati, Romania.ORCID 0000-0002-7414-9348

Funding

"Dunarea de Jos" University of Galati VAT 27232142
6 · The paper itself

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology with immense potential in the field of medicine. By leveraging machine learning and deep learning, AI can assist in diagnosis, treatment selection, and patient monitoring, enabling more accurate and efficient healthcare delivery. The widespread implementation of AI in healthcare has the role to revolutionize patients' outcomes and transform the way healthcare is practiced, leading to improved accessibility, affordability, and quality of care. This article explores the diverse applications and reviews the current state of AI adoption in healthcare. It concludes by emphasizing the need for collaboration between physicians and technology experts to harness the full potential of AI.

Indexed as

artificial intelligenceclinical applicationsdeep learningdigital pathologymachine learning

Identifiers

PMID37623465
PMCPMC10455458

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.