Relievant Medsystems, Inc.

Ray M Baker

Brian W Donovan

Samit Patel

Avram Allan Edidin

Alexander Pruitt

Michael Willink

Alexandre M Dinello

Michael R Marks

Described herein are various implementations of systems and methods for accessing and modulating tissue (for example, systems and methods for accessing and ablating nerves or other tissue within or surrounding a vertebral body to treat chronic lower back pain). Assessment of vertebral endplate degeneration or defects (e.g., pre-Modic changes) to facilitate identification of treatment sites and protocols are also provided in several embodiments. Several embodiments comprise the use of biomarkers to confirm or otherwise assess ablation, pain relief, efficacy of treatment, etc. Some embodiments include robotic elements for, as an example, facilitating robotically-controlled access, navigation, imaging, and/or treatment.

Methods of detecting and treating back pain

Described herein are various implementations of systems and methods for treating back pain (e.g., chronic low back pain) caused by different (e.g., independent) sources of pain, such as pain originating or stemming from intervertebral discs, from vertebral endplates, and/or from intraosseous locations within one or more vertebral bodies. For example, methods for treating back pain (e.g., chronic low back pain) may involve both vertebral fusion (e.g., arthrodesis or spondylodesis to fuse adjacent vertebrae) and neuromodulation (for example, ablation of nerves within or surrounding one or more of the adjacent vertebrae). The neuromodulation may facilitate treatment of pain that is generated by insertion of fusion hardware.

Vertebral denervation in conjunction with vertebral fusion

Described herein are various implementations of systems and methods for determining likelihood of a patient favorably responding to a neuromodulation procedure based on a quantitative or objective score or determination based on a plurality of indicators of pain (e.g., chronic low back pain stemming from one or more vertebral bodies or vertebral endplates of a patient). The systems and methods may involve application of artificial intelligence techniques (e.g., trained algorithms, machine learning or deep learning algorithms, and/or trained neural networks).

Prediction of candidates for spinal neuromodulation

Described herein are various implementations of systems and methods for accessing and modulating tissue (for example, systems and methods for accessing and ablating nerves or other tissue within or surrounding a vertebral body to treat chronic lower back pain). Assessment of vertebral endplate degeneration or defects (e.g., pre-Modic changes) to facilitate identification of treatment sites and protocols are also provided in several embodiments. Several embodiments comprise the use of biomarkers to confirm or otherwise assess ablation, pain relief, efficacy of treatment, etc. Some embodiments include robotic elements for, as an example, facilitating robotically controlled access, navigation, imaging, and/or treatment.

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San Clemente, CA, United States of America

Ray M Baker