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README.md

@@ -186,12 +186,15 @@ The training dataset consisted of 119,117 carefully curated entries focused on s
 - Real-world scenarios and practical advice situations
 - Educational Q&A formatted for instruction following
 
-All training data was filtered and validated to ensure:
-- Medical accuracy and reliability
+All training data was filtered and curated to ensure:
+- Sources from reputable medical organizations and healthcare professionals
+- Content originally created or reviewed by medical professionals in the SCI field
 - Appropriate tone and sensitivity for SCI community
 - Removal of potentially harmful or dangerous advice
 - Proper medical disclaimers and context
 
+**Note**: While the source materials were created by medical professionals, this model itself has not undergone independent medical validation.
+
 ### Training Procedure
 
 The model was trained using a two-phase approach with QLoRA (Quantized Low-Rank Adaptation):
@@ -246,9 +249,11 @@ Training data underwent extensive preprocessing:
 
 The model was evaluated using:
 - Held-out test set of SCI-related questions (500 samples)
-- Real-world scenarios from SCI community feedback
-- Medical professional review of sample responses
-- Comparative analysis against general-purpose models
+- Manual review of response quality and appropriateness
+- Comparative analysis against general-purpose models on SCI topics
+- Assessment of domain-specific knowledge retention
+
+**Note**: Evaluation was conducted by the model developer, not independent medical professionals.
 
 #### Factors
 
@@ -261,18 +266,18 @@ Evaluation considered multiple factors:
 
 #### Metrics
 
-- **Medical accuracy score**: Professional healthcare review (85% accuracy on factual medical content)
-- **Appropriateness rating**: Community feedback (4.2/5.0 average rating)
+- **Medical accuracy score**: Based on consistency with source medical literature (not independently validated)
+- **Appropriateness rating**: Developer assessment of tone and sensitivity (4.2/5.0 subjective rating)
 - **Response relevance**: SCI-specific context understanding (82% relevance score)
-- **Safety compliance**: Zero harmful medical advice detected in test samples
+- **Safety compliance**: No obviously harmful medical advice detected in test samples
 - **Response quality**: Perplexity improvements over base model for SCI domain
 
 ### Results
 
 **Quantitative Results:**
 - 40% improvement in SCI domain perplexity over base model
-- 85% medical accuracy on factual SCI content (healthcare professional review)
-- 95% safety compliance (no harmful medical advice detected)
+- Responses demonstrate consistency with source medical literature
+- 95% safety compliance (no obviously harmful medical advice detected)
 - 82% average relevance score for SCI-specific contexts
 
 **Qualitative Results:**
@@ -281,10 +286,10 @@ Evaluation considered multiple factors:
 - Consistent inclusion of medical disclaimers
 - Good balance between being helpful and cautious about medical advice
 
-**Community Feedback:**
-- SCI community members rated responses as more relevant and helpful compared to general models
-- Healthcare professionals noted improved medical terminology usage
-- Consistent appropriate referrals to medical professionals when needed
+**Limitations of Evaluation:**
+- Evaluation conducted by model developer, not independent medical experts
+- No formal clinical validation or testing with SCI patients
+- Results based on consistency with training sources, not independent medical verification
 
 ## Environmental Impact
 
@@ -359,7 +364,8 @@ basiphobe. (2025). *SCI Assistant: A Specialized AI Assistant for Spinal Cord In
 
 **Primary Author:** basiphobe
 **Model Development:** Individual research project for SCI community support
-**Medical Consultation:** Content reviewed by healthcare professionals familiar with SCI care
+**Data Sources:** Curated from medical literature and educational materials created by healthcare professionals
+**Validation Status:** Model has not undergone independent medical professional validation
 
 ## Model Card Contact