A naukri.com initiative
VentureBeat
1M
45
Image Credit: VentureBeat
Mayo Clinic’s secret weapon against AI hallucinations: Reverse RAG in action
- Mayo Clinic has implemented a novel technique called reverse RAG to combat AI hallucinations in healthcare data.
- By employing backwards RAG, Mayo ensures that every data point links back to its original source content, reducing data-retrieval-based hallucinations.
- This technique has enabled Mayo to utilize AI more extensively in its clinical practice.
- Mayo initially applied AI in discharge summaries, where models excelled in extraction and summarization tasks.
- By avoiding hallucinations through careful building and verification, Mayo fine-tuned the AI models.
- Backwards RAG addresses limitations of RAG, such as irrelevant data retrieval, by using the CURE algorithm to double-check data extraction.
- The CURE technique's effectiveness also extends to synthesizing new patient records, saving practitioners significant time.
- Mayo sees potential in expanding AI capabilities to reduce administrative burden and assist physicians.
- Collaborations with companies like Cerebras Systems and Microsoft aim to enhance genomic modeling and imaging analysis for improved patient care.
- Mayo envisions using AI to personalize medicine by leveraging genomics and other 'omic' areas like proteomics to tailor treatments based on individual patient profiles.
- While AI holds promise in transforming patient care, rigorous validation and testing are essential in clinical settings for successful implementation.
Read Full Article
2 Likes
For uninterrupted reading, download the app