AI-POWERED INSIGHT
Evaluating the readability and quality of AI-generated scoliosis education materials: a comparative analysis of five language models
This study rigorously assessed five leading AI models for their ability to generate comprehensible and reliable patient education materials on scoliosis. Our findings reveal critical disparities in readability and highlight key areas for improvement in accuracy and trustworthiness.
Key Metrics & Immediate Impact
Dive into the core performance indicators from our comprehensive evaluation, highlighting both achievements and critical gaps in AI-generated health content.
0
Average DISCERN Score (Fair)
0
Lowest FKGL (DeepSeek-R1)
0
High Inter-rater Reliability (ICC)
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Readability Metrics
Content Quality
Model Variations
Readability Metrics
Readability was assessed using the Flesch-Kincaid Grade Level (FKGL) and Flesch-Kincaid Reading Ease (FKRE). FKRE scores range from 0 to 100, with higher scores indicating simpler text. FKGL estimates the minimum education level required for comprehension, where lower scores indicate easier comprehension.
Content Quality
Content quality was evaluated using the DISCERN score, a standardized tool for assessing the quality of written consumer health information. It consists of 16 questions in three sections: reliability, completeness/accuracy of treatment details, and an overall quality rating. Scores are on a 1-5 scale, with a total possible score of 80. Scores above 50 are considered 'fair', and above 70 'excellent'.
Model Variations
The study compared five prominent AI models: ChatGPT-40, ChatGPT-01, ChatGPT-03 mini-high, DeepSeek-V3, and DeepSeek-R1. These models were queried on three types of scoliosis (congenital, adolescent idiopathic, and neuromuscular) to generate educational content for patients.
6.2
Lowest FKGL (DeepSeek-R1)
64.5
Highest FKRE (DeepSeek-R1)
| Model | Readability (FKGL) | Quality (DISCERN) |
|---|---|---|
| DeepSeek-R1 | 6.2 (Superior) | 50.5 (Fair) |
| ChatGPT-40 | 8.4-9.8 (Moderate) | 50.5 (Fair) |
| DeepSeek-V3 | 10.3 (Dense) | 50.5 (Fair) |
| ChatGPT-01 | 12.9 (College-level) | 50.5 (Fair) |
| ChatGPT-03 mini-high | 12.6 (College-level) | 50.5 (Fair) |
Enterprise Process Flow
AI Model Selection
→
Content Generation (Scoliosis Topics)
→
Readability Assessment (FKGL, FKRE)
→
Quality Evaluation (DISCERN Score)
→
Comparative Analysis & Conclusions
Impact of Citation Absence
A critical limitation across all AI models was the absence of explicit source citations. This issue significantly diminishes the credibility and verifiability of AI-generated health information. Users often trust AI content highly, even when inaccurate, posing a risk of widespread misinformation and potentially leading to poor medical decisions. Future AI systems must integrate real-time citation mechanisms to improve trustworthiness and reliability.
Calculate Your Potential AI Impact
Estimate the efficiency gains and cost savings your organization could achieve by optimizing patient education with advanced AI. Adjust the parameters below for a personalized projection.
Annual Cost Savings
$0
Annual Hours Reclaimed
0
Your AI Transformation Roadmap
A strategic approach to integrate AI for enhanced patient education, ensuring optimal readability, quality, and personalized delivery.
Phase 1: AI Model Integration
Integrate advanced language models (e.g., DeepSeek-R1, ChatGPT-40) into the patient education content pipeline.
Phase 2: Content Optimization Engine Development
Develop a system to dynamically adjust content readability based on target audience (FKGL, FKRE targets) and health literacy levels.
Phase 3: Citation & Verification Module
Implement an automated real-time citation and verification system to ensure all medical information is sourced and accurate.
Phase 4: Personalization & Adaptive Delivery
Design an adaptive delivery platform that customizes content presentation (text, visuals, interactive Q&A) for individual patient needs and cognitive maturity.
Ready to Transform Your Patient Education?
Leverage cutting-edge AI to deliver clear, accurate, and personalized health information. Connect with our experts to design a solution tailored for your institution.
Ready to Get Started?
Book Your Free Consultation.
Let's Discuss Your AI Strategy!
Lets Discuss Your Needs
Select a Date
Sun
Mon
Tue
Wed
Thu
Fri
Sat