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Robotic-Assisted Reverse Shoulder Arthroplasty: Rationale, Potential, Challenges, and Future Directions.

Mariano E Menendez1, Mark A Mighell2, Joaquin Sanchez-Sotelo3

  • 1Department of Orthopaedic Surgery, University of California Davis, Sacramento, California.

The Journal of Bone and Joint Surgery. American Volume
|March 4, 2026
PubMed
Summary
This summary is machine-generated.

Robotic-assisted reverse shoulder arthroplasty aims to enhance surgical precision and reduce complications. This technology may improve patient outcomes and lower healthcare costs by minimizing errors in shoulder replacement surgery.

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Area of Science:

  • Orthopedic Surgery
  • Robotics in Medicine
  • Biomedical Engineering

Background:

  • Traditional reverse shoulder arthroplasty faces challenges with accurate implant placement.
  • Malpositioned implants can lead to increased complication rates and higher healthcare expenses.
  • Robotic assistance offers a potential solution to improve surgical accuracy.

Purpose of the Study:

  • To review the rationale behind robotic-assisted reverse shoulder arthroplasty.
  • To explore the potential impact of this technology on surgical outcomes.
  • To examine implementation challenges and future research directions.

Main Methods:

  • Review of current literature and early clinical data on robotic-assisted reverse shoulder arthroplasty.
  • Analysis of the technological principles and benefits.
  • Discussion of challenges in clinical adoption and integration.

Main Results:

  • Robotic assistance shows promise in improving the execution of preoperative plans for reverse shoulder arthroplasty.
  • Potential for reducing malposition outliers and associated complications.
  • Early adoption is limited but indicates a positive trend towards enhanced precision.

Conclusions:

  • Robotic-assisted reverse shoulder arthroplasty represents an innovative advancement in orthopedic surgery.
  • Further research is needed to fully determine its long-term value and clinical utility.
  • Addressing implementation challenges is crucial for widespread adoption and realizing its full potential.