Stephen Hochschuler, MD, of Plano-based Texas Back Institute spoke to Becker’s about the progression of AI and robotics in spine and how the FDA will tackle device approval times as the technology advances.
New York City-based Hospital for Special Surgery researchers found that artificial intelligence may help orthopedic surgeons predict how patients will react after joint replacement surgery. The study indicates that machine-learning algorithms can predict which patients will report a minimal clinically important difference in symptoms two years after total knee or total hip replacement surgery.
Kevin Foley, MD, chairman of Semmes Murphey Clinic and director of complex spine surgery at Semmes Murphey in Memphis, Tenn., shared his insight on AI in spine and how the field is evolving.
Aidoc, an Israeli artificial intelligence-powered radiology solutions company, received FDA 510(k) clearance for its AI solution to triage cervical spine fracture patients. The AI triage aims to empower the radiologist by maintaining workflow quality, increasing efficiency in treating critical patients and ensuring radiologists’ work is more rewarding.
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At the Becker’s 32nd Annual Meeting: The Business and Operations of ASCs, taking place October 29-31 in Chicago, ASC leaders, surgeons and healthcare executives will explore strategies to drive growth, enhance operational performance, navigate reimbursement challenges and prepare for the future of ambulatory surgery. Apply for complimentary registration now.
