From Phantoms to Facts: DPO Fine-Tuning Minimizes Hallucinations in Radiology Reports, Boosting Clinical Trust

Title: Revolutionizing Radiology with AI Generative vision-language models (VLMs) are changing the way radiology works by using AI to interpret images and generate reports automatically. This innovation aims to reduce the workload of radiologists and enhance diagnostic precision. Challenge: However, VLMs sometimes produce incorrect or nonsensical text, leading to errors in clinical reports, particularly in chest X-ray analysis. This increases the workload for healthcare professionals. Proposed Solution: Researchers have suggested using Direct Preference Optimization (DPO) to address this issue. By fine-tuning the model with DPO, the team successfully minimized the unwanted references in chest X-ray reports while maintaining clinical accuracy. Technical Overview: The proposed method utilizes a vision-language model pretrained on MIMIC-CXR data, consisting of a vision encoder, a vision-language adapter, and a language model. The fine-tuning process involves using preference datasets with weighted DPO losses to train the model to suppress inaccurate content. Key Findings: The fine-tuned models exhibited a significant reduction in inaccurate references, with a 3.2 to 4.8-fold decrease in errors, while maintaining high clinical accuracy. Impact and Future Prospects: This research demonstrates that DPO can effectively minimize inaccurate content in radiology report generation, providing a practical and efficient solution to enhance the reliability of AI-generated medical reports. This, in turn, can improve patient care and alleviate the burden on radiologists. Explore AI for Your Business: Discover how AI can transform your business, improve efficiency, and maintain competitiveness. Identify areas for automation, establish KPIs, choose suitable AI solutions, and implement them gradually. Connect with us for AI KPI management advice at hello@itinai.com Explore practical AI solutions at itinai.com/aisalesbot to automate customer engagement 24/7 and manage interactions across all customer journey stages. Useful Links: AI Lab in Telegram @itinai – free consultation Twitter – @itinaicom