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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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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.
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Artificial Intelligence-What to Expect From Machine Learning and Deep Learning in Hernia Surgery.

Robert Vogel1, Björn Mück1

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Summary
This summary is machine-generated.

Artificial Intelligence (AI), including Machine Learning (ML) and Deep Learning (DL), is transforming hernia surgery. DL models show promise in predicting surgical complexity and outcomes, enhancing patient care.

Keywords:
AIdeep learninghernia surgerymachine learningneural network

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Area of Science:

  • * Surgical Innovation
  • * Medical Informatics
  • * Computational Biology

Background:

  • * Artificial Intelligence (AI) encompasses Machine Learning (ML) and Deep Learning (DL), utilizing neural networks to analyze complex data.
  • * Deep Learning (DL) excels at identifying patterns in raw data like images and videos, requiring less human oversight than traditional ML.
  • * AI's application in surgery is rapidly evolving, with significant potential in specialized fields like hernia repair.

Purpose of the Study:

  • * To review the integration and impact of AI, ML, and DL in hernia surgery.
  • * To highlight advancements in predicting surgical complexity and patient outcomes using AI.
  • * To discuss the current benefits and limitations of AI in hernia surgery.

Main Methods:

  • * Systematic literature review of recent, peer-reviewed publications.
  • * Searches conducted on PubMed and Google Scholar databases.
  • * Focus on preoperative planning, intraoperative techniques, and postoperative management in hernia surgery.

Main Results:

  • * Deep Learning (DL) models demonstrate significant advancements in predicting abdominal wall reconstruction (AWR) complexity.
  • * AI applications show potential in forecasting various postoperative outcomes in hernia surgery.
  • * The review identifies both benefits and limitations of current AI technologies in the surgical field.

Conclusions:

  • * AI, particularly DL, offers promising tools for enhancing hernia surgery planning and outcome prediction.
  • * Further research and clinical application are advocated to fully realize AI's potential in this surgical domain.
  • * The integration of AI represents a significant evolution in surgical practice and patient management.