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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

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Updated: May 11, 2026

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
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Artificial intelligence in plastic surgery, where do we stand?

Omar Kiwan1, Mohammed Al-Kalbani1, Arash Rafie2

  • 1Faculty of Biology, Medicine and Health, University of Manchester, United Kingdom.

JPRAS Open
|October 22, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing plastic surgery, enhancing patient care from consultation to post-operative management. Continued collaboration can overcome challenges, ushering in a new era of AI-assisted medical practice.

Keywords:
Aesthetic surgeryArtificial intelligenceMachine learningPlastic surgery

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Area of Science:

  • Medical Informatics
  • Computer-Aided Surgery
  • Plastic Surgery Innovation

Background:

  • Artificial intelligence (AI) integration has accelerated across various sectors, including healthcare, post-pandemic.
  • Plastic surgery is a significant area experiencing AI-driven advancements, evidenced by numerous publications.
  • A comprehensive review of recent literature is crucial to understand AI's current impact and future potential in this field.

Purpose of the Study:

  • To systematically review and synthesize the literature on AI applications in plastic surgery published in 2020.
  • To provide a comprehensive overview of AI innovation across the entire patient journey in plastic surgery.
  • To identify key areas of AI implementation and assess its transformative potential.

Main Methods:

  • A systematic literature review adhering to PRISMA guidelines was conducted.
  • Databases searched included Medline, Cochrane, Embase, and Google Scholar.
  • Studies published in 2020 examining AI in plastic surgery were included, focusing on clinical consultations, diagnosis, surgical planning, intraoperative use, and post-operative management.

Main Results:

  • Ninety-six studies were included, detailing AI's role in various plastic surgery facets.
  • AI applications were observed in consultations (6 studies), diagnosis/assessment (15 studies), surgical planning (17 studies), and post-operative management (15 studies).
  • AI also showed utility in administrative tasks and documentation (9 studies).

Conclusions:

  • AI demonstrates significant potential to transform patient care throughout the plastic surgery continuum.
  • Despite existing challenges and concerns, collaborative efforts can facilitate AI's role in optimizing patient outcomes.
  • AI is poised to become an integral tool, aiding surgeons in achieving superior patient care in a new era of medicine.