Upload AI development Methodology.docx
Pentabrid-Brain represents a novel approach to medical AI training that mirrors how physicians actually learn and reason. Unlike conventional medical QA models that rely on pattern matching, this system is trained using evidence-based Bayesian clinical reasoning methodology, incorporating likelihood ratios from peer-reviewed sources and structured diagnostic frameworks.
The model is built on DeepSeek-R1-Distill-Llama-8B and fine-tuned using a multi-tiered weighted curriculum learning approach. Key innovations include:
• Evidence-Based Reasoning: 701 likelihood ratios extracted from McGee's Evidence-Based Physical Diagnosis
• Diagnostic Frameworks: Structured approaches from Stern's Symptom to Diagnosis
• Clinical Behavior Training: 125+ real anonymized clinical cases using BARS methodology
• Weighted Curriculum Learning: Prevents catastrophic forgetting through strategic data mixing