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Artificial intelligence in planned orthopaedic care.

Elena Chiara Thalia Georgiakakis¹, Akib Majed Khan², Kartik Logishetty²

¹Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.

|November 21, 2024

Summary

This summary is machine-generated.

Artificial intelligence (AI) offers transformative potential in orthopaedic care, addressing challenges like long surgical wait times and improving patient outcomes. This review explores AI applications throughout the patient journey to enhance musculoskeletal health services.

Keywords:

Artificial intelligence Deep learning Machine learning Planned orthopaedic care

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Area of Science:

Orthopaedic Surgery
Medical Artificial Intelligence (AI)

Background:

Musculoskeletal pathologies cause significant global disability, impacting 1.71 billion people.
Increasing patient volumes and healthcare system strain, exacerbated by the COVID-19 pandemic and aging populations, lead to prolonged orthopaedic surgery waiting times.
Deterioration in patient condition and poorer outcomes are associated with delayed orthopaedic interventions.

Purpose of the Study:

To provide a comprehensive overview of Artificial Intelligence (AI) applications in orthopaedics.
To elucidate the potential of AI to enhance patient care and system efficiency across the perioperative setting.
To explore AI's role in addressing current and future demands on orthopaedic services.

Main Methods:

Review of current literature on AI applications in orthopaedic care.
Categorization of AI applications across preoperative, intraoperative, and postoperative stages.
Analysis of AI's impact on patient outcomes and healthcare system efficiency.

Main Results:

AI demonstrates diverse applications including automated diagnostic imaging, clinical decision support, implant design optimization, robotic surgery, and remote patient monitoring.
These AI technologies aim to improve patient care and streamline healthcare system operations.
AI integration presents a viable strategy for managing increasing service demands in orthopaedics.

Conclusions:

Artificial intelligence holds significant promise for revolutionizing planned orthopaedic care.
AI can enhance efficiency and patient outcomes by addressing challenges in the perioperative pathway.
Further integration of AI technologies is crucial for the future of orthopaedic services.