Abstract: Systems and methods for measuring the magnetic fields generated by renal nerves before and/or after neuromodulation therapy are disclosed herein. One method for measuring the magnetic field of target nerves during a neuromodulation procedure includes positioning a neuromodulation catheter at a target site within a renal blood vessel of a human patient near the target nerves, and detecting a measurement of the magnetic field generated by the target nerves. The method can further include determining, based on the measurement of the magnetic field, a location of the target nerves, a location of ablation at the target nerves, and/or a percentage the target nerves were ablated by delivered neuromodulation energy.

Abstract: Example devices, systems, and techniques predict renal denervation efficacy for reducing hypertension in a patient based on pulse information. For example, a system may include processing circuitry configured to obtain pulse information representative of pulses from both wrists of a patient, obtain a plurality of values representative of respective patient metrics for the patient, and apply the pulse information and the plurality of values to a deep learning model trained to represent a relationship of the pulse information and the patient metrics to an efficacy of renal denervation in reducing hypertension. In some examples, responsive to applying the pulse information and the plurality of values to the deep learning model, the processing circuitry obtains, from the deep learning model, a score indicative of renal denervation efficacy in reducing hypertension for the patient, and generates a graphical user interface comprising a graphical representation of the score for the patient.

Abstract: Example devices, systems, and techniques predict renal denervation efficacy for reducing hypertension in a patient based on pulse information. For example, a system may include processing circuitry configured to obtain pulse information representative of pulses from both wrists of a patient, obtain a plurality of values representative of respective patient metrics for the patient, and apply the pulse information and the plurality of values to a deep learning model trained to represent a relationship of the pulse information and the patient metrics to an efficacy of renal denervation in reducing hypertension. In some examples, responsive to applying the pulse information and the plurality of values to the deep learning model, the processing circuitry obtains, from the deep learning model, a score indicative of renal denervation efficacy in reducing hypertension for the patient, and generates a graphical user interface comprising a graphical representation of the score for the patient.

Abstract: Systems and methods for measuring the magnetic fields generated by renal nerves before and/or after neuromodulation therapy are disclosed herein. One method for measuring the magnetic field of target nerves during a neuromodulation procedure includes positioning a neuromodulation catheter at a target site within a renal blood vessel of a human patient near the target nerves, and detecting a measurement of the magnetic field generated by the target nerves. The method can further include determining, based on the measurement of the magnetic field, a location of the target nerves, a location of ablation at the target nerves, and/or a percentage the target nerves were ablated by delivered neuromodulation energy.

Abstract: Systems and methods for measuring the magnetic fields generated by renal nerves before and/or after neuromodulation therapy are disclosed herein. One method for measuring the magnetic field of target nerves during a neuromodulation procedure includes positioning a neuromodulation catheter at a target site within a renal blood vessel of a human patient near the target nerves, and detecting a measurement of the magnetic field generated by the target nerves. The method can further include determining, based on the measurement of the magnetic field, a location of the target nerves, a location of ablation at the target nerves, and/or a percentage the target nerves were ablated by delivered neuromodulation energy.

Abstract: Example devices, systems, and techniques predict renal denervation efficacy for reducing hypertension in a patient based on pulse information. For example, a system may include processing circuitry configured to obtain pulse information representative of pulses from both wrists of a patient, obtain a plurality of values representative of respective patient metrics for the patient, and apply the pulse information and the plurality of values to a deep learning model trained to represent a relationship of the pulse information and the patient metrics to an efficacy of renal denervation in reducing hypertension. In some examples, responsive to applying the pulse information and the plurality of values to the deep learning model, the processing circuitry obtains, from the deep learning model, a score indicative of renal denervation efficacy in reducing hypertension for the patient, and generates a graphical user interface comprising a graphical representation of the score for the patient.

Abstract: Systems and methods for measuring the magnetic fields generated by renal nerves before and/or after neuromodulation therapy are disclosed herein. One method for measuring the magnetic field of target nerves during a neuromodulation procedure includes positioning a neuromodulation catheter at a target site within a renal blood vessel of a human patient near the target nerves, and detecting a measurement of the magnetic field generated by the target nerves. The method can further include determining, based on the measurement of the magnetic field, a location of the target nerves, a location of ablation at the target nerves, and/or a percentage the target nerves were ablated by delivered neuromodulation energy.