AIMC Topic: Acupuncture Therapy

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Gating Attractor Dynamics of Frontal Cortex Under Acupuncture via Recurrent Neural Network.

IEEE journal of biomedical and health informatics
Acupuncture can regulate the functions of human body and improve the cognition of brain. However, the mechanism of acupuncture manipulations remains unclear. Here, we hypothesis that the frontal cortex plays a gating role in information routing of br...

Deep Learning-Based CT Imaging to Evaluate the Therapeutic Effects of Acupuncture and Moxibustion Therapy on Knee Osteoarthritis.

Computational and mathematical methods in medicine
The study was aimed at analyzing the application value of deep learning-based computed tomography (CT) in evaluating the effect of acupuncture for knee osteoarthritis (KOA). Specifically, 124 patients with KOA were selected in the test group (warm ac...

Biotechnical system based on fuzzy logic prediction for surgical risk classification using analysis of current-voltage characteristics of acupuncture points.

Journal of integrative medicine
OBJECTIVE: This study aimed to develop expert fuzzy logic model to assist physicians in the prediction of postoperative complications of prostatic hyperplasia before surgery.

Machine Learning in Neuroimaging: A New Approach to Understand Acupuncture for Neuroplasticity.

Neural plasticity
The effects of acupuncture facilitating neural plasticity for treating diseases have been identified by clinical and experimental studies. In the last two decades, the application of neuroimaging techniques in acupuncture research provided visualized...

Multivariate resting-state functional connectivity predicts responses to real and sham acupuncture treatment in chronic low back pain.

NeuroImage. Clinical
Despite the high prevalence and socioeconomic impact of chronic low back pain (cLBP), treatments for cLBP are often unsatisfactory, and effectiveness varies widely across patients. Recent neuroimaging studies have demonstrated abnormal resting-state ...

Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural network model.

Frontiers of medicine
Comprehension of the medical diagnoses of doctors and treatment of diseases is important to understand the underlying principle in selecting appropriate acupoints. The pattern recognition process that pertains to symptoms and diseases and informs acu...

Chinese acupoint therapies in cancer pain management: research advances and future perspectives.

Pain management
Cancer pain management (CPM) is crucial in oncology care, with current approaches including pharmacotherapy, radiotherapy, chemotherapy, nerve blocks, and psychological support. However, long-term drug use risks adverse effects and addiction, while p...

Neural Manifold Decoder for Acupuncture Stimulations With Representation Learning: An Acupuncture-Brain Interface.

IEEE journal of biomedical and health informatics
Acupuncture stimulations in somatosensory system can modulate spatiotemporal brain activity and improve cognitive functions of patients with neurological disorders. The correlation between these somatosensory stimulations and dynamical brain response...

[Acupuncture effects and neuro-immune regulation: a breakthrough in "treating diseases at the root"].

Zhen ci yan jiu = Acupuncture research
The holistic philosophy of traditional Chinese medicine (TCM) embodied in acupuncture therapy has gained novel insights within the neuroimmune regulatory framework. Its mechanistic framework encompasses 3 pivotal dimensions: 1) Acupuncture stimulatio...

[Technological innovation and future development of quantitative research on acupuncture manipulation techniques].

Zhen ci yan jiu = Acupuncture research
The quantitative research on acupuncture manipulation techniques aims to transform traditional empirical operations into measurable parameters through interdisciplinary technologies. This paper comprehensively reviewed the biomechanical foundations a...