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Summary

Data-driven technologies like AI and IoT enhance orthopaedic surgery precision and patient outcomes. Addressing challenges like data privacy is key for wider adoption in global healthcare.

Keywords:
3D imagingData ethicsData privacyData-driven technologiesInternet of Things (IoT)IoTMachine learningRobotic-assisted surgerySurgical precisionWearable devices

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Area of Science:

  • Orthopaedic Surgery
  • Medical Technology
  • Data Science

Background:

  • Data-driven technologies are revolutionizing orthopaedic surgery.
  • Advancements include predictive modeling, machine learning, Internet of Things (IoT)-enabled devices, and data visualization.

Purpose of the Study:

  • To review data-driven methods in orthopaedic surgery.
  • To highlight their clinical impact, challenges, and future directions.

Main Methods:

  • Comprehensive literature search across PubMed, Scopus, and Web of Science.
  • Analysis focused on preoperative planning, intraoperative guidance, and postoperative monitoring.
  • Consideration of ethical concerns and implementation challenges in low and middle-income countries.

Main Results:

  • 3D imaging and patient-specific guides improve preoperative planning accuracy.
  • Robot-assisted systems enhance intraoperative precision and reduce recovery times.
  • Wearable devices facilitate postoperative monitoring and patient engagement.

Conclusions:

  • Data-driven technologies offer significant promise for improving orthopaedic patient outcomes and surgical success.
  • Ongoing research, interdisciplinary collaboration, and ethical guidelines are crucial for effective implementation.
  • Addressing challenges is vital for broader adoption, especially in resource-limited settings.