Technology Revolutionizing Orthopedics and Spine: Key Concepts

Spine

At the 20th Annual Spine, Orthopedic + Pain Management-Driven ASC Conference, attendees gathered to hear an engaging keynote about the ways technology is revolutionizing orthopedics and spine care.

The keynote featured esteemed panelists:

  • Eiman Shafa, MD, Spine Surgeon, Twin Cities Spine Center
  • Norah Foster, MD, Medical Director, Orthopaedic Spine Surgery, Premier Health; Associate Professor, Department of Orthopaedic Surgery, Wright State University
  • Todd Lansford, MD, Spine Surgeon, South Carolina Sports Medicine & Orthopaedic Center
  • Akshat Gargya, MD, FIPP, Assistant Professor of Anesthesiology and Pain Medicine, Attending Anesthesiologist and Interventional Pain Physician, University of Vermont Medical Center

Key Takeaways:

1: AI and machine learning will revolutionize spine care in the future.

Dr. Foster discusses how AI and machine learning can help provide more accurate diagnoses and personalized treatment options for patients. This will help reduce healthcare costs and improve patient outcomes in the future.

2: Robotics and AR will also play a significant role in the future of spine surgery.

Advanced technologies such as robotics and AR will allow spine surgeons to perform surgeries more efficiently and accurately in the future.

3: Lifestyle changes and non-surgical treatments are becoming more important in preventing and treating back pain.

While surgery is still necessary for some patients, preventing pain and inflammation through lifestyle changes and non-invasive treatments is increasingly becoming an important part of spine care.

4: Doctors need to balance traditional training with reliance on technology.

While technology is advancing rapidly in spine care, it is still important for doctors to have a strong classical training in order to perform surgeries effectively without relying too heavily on technology. Additionally, ethical questions about data management and privacy need to be addressed as AI and machine learning technologies become more prevalent in healthcare.

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