Flumazenil Reversal of Remimazolam Sedation During Posterior Spinal Fusion in Two Adolescents. [PDF]
Lee N, Moon K, Uffman JC, Tobias JD.
europepmc +1 more source
New horizons in spine research: Intervertebral disc repair and regeneration. [PDF]
Iatridis, James C +3 more
core +2 more sources
The use of implants made from different materials in lumbar spinal fusion surgery (review)
Stanislav D. Shuvalov +5 more
openalex +1 more source
Titanium and tantalum as mesenchymal stem cell scaffolds for spinal fusion: an in vitro comparative study [PDF]
Juan F. Blanco +5 more
openalex +1 more source
AI‐Assisted Bioelectronics for Personalized Health Management
Recent advances in artificial intelligence (AI)‐assisted bioelectronics, including materials, device fabrication, working mechanisms, AI‐hardware integration, and proof‐of‐concept applications in digital health management, are summarized. The emergence of AI‐assisted bioelectronic systems and potential solutions to existing challenges are discussed ...
Huiwen Xiong +6 more
wiley +1 more source
Therapeutic Approaches for Enhancing Spinal Fusion in Low Back Pain: A Review With a Focus on the Elderly. [PDF]
Chen S +5 more
europepmc +1 more source
This review critically reassesses our prior hypothesis and proposes a revised anatomical model of the fusion fascia that is broadly applicable to GI cancer surgeries grounded in the principles of mesenteric resection. Our synthesis suggests that the fusion fascia is neither a dense connective tissue membrane nor a remnant of mesothelial fusion, but ...
Hisashi Shinohara +9 more
wiley +1 more source
Intraoperative neurophysiology monitoring in posterior spinal fusion: insight from a Ghanaian patient with Brown-Séquard Syndrome. [PDF]
Aklamanu BW +3 more
europepmc +1 more source
The effect of graded activity and pain education (GAPE): an early post-surgical rehabilitation programme after lumbar spinal fusion—study protocol for a randomized controlled trial [PDF]
Heidi Tegner +6 more
openalex +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source

