Aclarion said it has received a U.S. patent for machine learning used to train models and predict outcomes for evaluating pain. The patent, numbered 12,601,803, covers how the company analyzes magnetic resonance spectroscopy data to help determine whether spinal discs are associated with pain.
The company said its cloud-based platform converts complex spectral data into clinically actionable insights intended to help physicians distinguish between painful and non-painful discs. Aclarion also said the patent protects future use of AI to automate parts of the process, including report generation and reducing manual quality reviews.
Aclarion said the patent includes machine learning models that extract quantitative biomarkers from spectroscopy data to produce standardized classifications related to pain-related conditions. It also covers automated data quality controls designed to detect and exclude low-quality acquisition signals.
The company said the new patent expands its intellectual property portfolio to 64 issued and pending patents worldwide. It framed the work as part of building a software-driven platform for chronic low back pain assessment.
The news is significant because it adds legal protection for the company’s AI-based approach to interpreting medical imaging data and for processes that aim to improve consistency and scalability of its diagnostic workflow.
Source: Press Release