World Journal of Radiology and Imaging(WJRI)

Independent Research Author, Israel

Publications

• Research Article   
  Automated qEEG Case Study Generation with Retrieval-Augmented AI and Clinical Data Integration
  Author(s): Netanel Stern*
  
  Quantitative electroencephalography (qEEG) offers objective biomarkers of brain function across neuropsychiatric conditions, but clinical EEG case reports are traditionally labor-intensive to produce. We describe a reproducible Python-based pipeline that automatically processes raw BrainVision EEG data, extracts spectral qEEG features, integrates patient clinical scores (e.g. Brief Psychiatric Rating Scale, BPRS), retrieves relevant literature via Europe PMC, and uses a retrievalaugmented large language model (RAG-LLM) to generate structured narrative case reports. EEG preprocessing (filtering, artifact removal, referencing) and feature computation (power in delta, theta, alpha, beta bands, etc.) are implemented using open-source MNE-Python tools in a BIDS-compliant framework [1,2] . Patient metadata such as age, diagnosis, and BPRS severity provide clinical context alongside EEG feat.. Read More»
  

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