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A Mouse Model of Orthopedic Surgery to Study Postoperative Cognitive Dysfunction and Tissue Regeneration
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Computer-Aided Orthopedic Surgery: Incremental Shift or Paradigm Change?

Leo Joskowicz1, Eric J Hazan2

  • 1School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel. josko@cs.huji.ac.il.

Advances in Experimental Medicine and Biology
|October 12, 2018
PubMed
Summary
This summary is machine-generated.

Computer-aided orthopedic surgery (CAOS) has not become standard care despite 25 years of development. Research explores CAOS technologies, clinical impact, and acceptance challenges, particularly in knee replacement surgery.

Keywords:
Computer-aided orthopedic surgeryImage-guided surgeryMedical robotics

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Area of Science:

  • Orthopedic Surgery
  • Medical Technology
  • Surgical Innovation

Background:

  • Computer-aided orthopedic surgery (CAOS) has existed for approximately 25 years.
  • Despite advancements, CAOS has not achieved standard care status in orthopedics, unlike in neurosurgery.
  • This disparity prompts an investigation into the technical and clinical factors influencing CAOS adoption.

Purpose of the Study:

  • To elucidate the reasons behind the limited adoption of CAOS in orthopedic surgery.
  • To provide a comprehensive overview of CAOS history, technologies, and evaluation methods.
  • To analyze the clinical impact and acceptance of CAOS within the orthopedic community.

Main Methods:

  • Historical review of CAOS development.
  • Survey of current CAOS technologies and their evaluation metrics.
  • Analysis of scientific publications and expert opinions on CAOS.
  • Case study focusing on total knee replacement surgery.

Main Results:

  • CAOS technologies face challenges in widespread clinical acceptance within orthopedics.
  • Contrasting views exist regarding the clinical impact and benefits of CAOS, particularly in total knee replacement.
  • Research in medical image analysis for CAOS and musculoskeletal radiology presents both challenges and opportunities.

Conclusions:

  • CAOS acceptance in orthopedics is more moderate compared to other surgical fields.
  • CAOS technologies, while not universally adopted, remain valuable tools for orthopedic surgeons.
  • Further research in medical imaging analysis is crucial for advancing CAOS applications.