Evidence map›Paper›PMID 31044104›Full record

ArticlePlastic and reconstructive surgery. Global open2019

Implementing Precision Medicine and Artificial Intelligence in Plastic Surgery: Concepts and Future Prospects.

You J Kim, Brian P Kelley, Jacob S Nasser, Kevin C Chung

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Electrical Stimulation Therapy - Dedicated to the Perfect Plastic Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Impact of the internet on veterinary surgery.Veterinary and animal science · 2021
    Review
  9. Article
  10. What Can COVID-19 Teach Us about Using AI in Pandemics?Healthcare (Basel, Switzerland) · 2020
    Article
  11. Review
  12. Review
  13. Article
  14. [Artificial intelligence in plastic surgery : Current developments and perspectives].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2020
    Review
  15. A Practical Approach to Artificial Intelligence in Plastic Surgery.Aesthetic surgery journal. Open forum · 2020
    Article
  16. Artificial intelligence (AI)-An Inflection Point In the Global History and its Significance For a National Strategy.Indian journal of plastic surgery : official publication of the Association of Plastic Surgeons of India · 2019
    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

4 authors.

You J KimSection of Plastic Surgery, Department of Surgery, University of Michigan Medical School, Ann Arbor, Mich.
Brian P KelleyInstitute for Reconstructive Plastic Surgery of Central Texas, Seton Ascension Healthcare, Austin, Tex.
Jacob S NasserSection of Plastic Surgery, Department of Surgery, University of Michigan Medical School, Ann Arbor, Mich.
Kevin C ChungDepartment of Surgery, Section of Plastic Surgery, Assistant Dean for Faculty Affairs, University of Michigan Medical School, Ann Arbor, Mich.

Funding

Evidence-Based Research in Hand SurgeryK24AR053120 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHUNG, KEVIN C · 2008 to 2018
$1.6M
NIAMS NIH HHS K24 AR053120
6 · The paper itself

Abstract

Precision medicine, or the individualization of evidence-based medicine, is forthcoming. As surgeons, we must be prepared for the integration of patient and system factors. Plastic surgeons regard themselves as innovators and early adopters. As such, we need our adaptability now more than ever to implement digital advancements and precision medicine into our practices. The integration of artificial intelligence (AI) technology and the capture of big data techniques should foster the next great leaps in medicine and surgery, allowing us to capture the detailed minutiae of precision medicine. The algorithmic process of artificial neural networks will guide large-scale analysis of data, including features such as pattern recognition and rapid quantification, to organize and distribute data to surgeons seamlessly. This vast digital collection of information, commonly termed "big data," is only one potential application of AI. By incorporating big data, the cognitive abilities of a surgeon can be complemented by the computer to improve patient-centered care. Furthermore, the use of AI will provide individual patients with increased access to the broadening world of precision medicine. Therefore, plastic surgeons must learn how to use AI within the contexts of our practices to keep up with an evolving field in medicine. Although rudimentary in its practice, we present a glimpse of the potential applications of AI in plastic surgery to incorporate the practice of precision medicine into the care that we deliver.

Identifiers

PMID31044104
PMCPMC6467615

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.