4 updates on AI in spine, orthopedics

Alan Condon -   Print  |

Here are five key updates on artificial intelligence in spine and orthopedics.

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.

More articles on spine:
Dr. David Altchek performs Tommy John, tendon repair surgeries on Pirates' Jameson Taillon — 4 insights
Former Striker, NuVasive executives join Alphatec in leadership roles
Barnes-Jewish Hospital opens 44-bed neuro-ICU

© Copyright ASC COMMUNICATIONS 2020. Interested in LINKING to or REPRINTING this content? View our policies here.

Featured Webinars

Featured Whitepapers