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Anthony M. DiGioia
Researcher at University of Pittsburgh
Publications - 95
Citations - 6126
Anthony M. DiGioia is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Health care & Computer-assisted surgery. The author has an hindex of 37, co-authored 93 publications receiving 5892 citations. Previous affiliations of Anthony M. DiGioia include Western Pennsylvania Hospital & Carnegie Mellon University.
Papers
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Book ChapterDOI
A Computer-Assisted ACL Reconstruction System Assessment of Two Techniques of Graft Positioning in ACL Reconstruction
Frederic Picard,James E. Moody,V. Martinek,Freddie H. Fu,M. Rytel,Constantinos Nikou,Richard S. LaBarca,Branislav Jaramaz,Anthony M. DiGioia +8 more
TL;DR: KneeNavTMACL, a CT-based surgical navigation system, is used to demonstrate two fundamental requirements for a practical computer-assisted surgical device: 1) it can guide the surgeon with the accuracy required for successful graft placement, and 2) this guidance can be achieved through a simple and intuitive interface.
Journal Article
Augmented reality and its future in orthopaedics : Computer assisted orthopaedic surgery: Medical robotics and image guided surgery
TL;DR: The basic technologies of augmented reality are discussed, augmented reality systems currently being used in the medical domain are examined, and some future uses of these systems in orthopaedic applications are explored.
Journal ArticleDOI
Dose-Associated Changes in Gait Parameters in Response to Exercise Programs after Total Knee Arthroplasty: Secondary Analysis of Two Randomized Studies.
Sara R. Piva,Shawn Farrokhi,Gustavo J. Almeida,Kelley Fitzgerald G,Timothy J. Levison,Anthony M. DiGioia +5 more
TL;DR: Significant dose-response of exercise on gait parameters support the promotion of more intensive exercise programs that combine functional and balance training programs after TKA.
Journal ArticleDOI
Comparison of Asymptomatic and Symptomatic Adverse Local Tissue Reaction in Patients With Head-Neck Taper Corrosion.
Margaret A. Weber,Matthew J. Snyder,Kalain K. Workman,Margaret M. Sims,Clair N. Smith,Deepak Kumar,Akshay V. Daji,Camilo Borrero,Andrew C. Cordle,Anthony M. DiGioia,Brian R. Hamlin,Anton Plakseychuk,Kenneth L. Urish +12 more
TL;DR: It is suggested that it is essential to risk stratify patients who could potentially have ALTR based on implant type, symptoms, ion levels, and MARS MRI findings, and metal artifact reduction sequence (MARS) magnetic resonance imaging (MRI) findings.