Summary of Zodiac: a Cardiologist-level Llm Framework For Multi-agent Diagnostics, by Yuan Zhou et al.
Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics
by Yuan Zhou, Peng Zhang, Mengya Song, Alice Zheng, Yiwen Lu, Zhiheng Liu, Yong Chen, Zhaohan Xi
First submitted to arxiv on: 2 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Large language models have made significant progress in healthcare, but a gap remains regarding their professionalism in domain-specific clinical practices. To address this, we introduce ZODIAC, an LLM-powered framework designed to engage LLMs in cardiological diagnostics at a cardiologist level. ZODIAC extracts clinically relevant characteristics from patient data, detects arrhythmias, and generates preliminary reports for cardiologists’ review and refinement. By processing patient data across multiple modalities through a multi-agent collaboration framework, ZODIAC achieves cardiologist-level professionalism. Each LLM agent is fine-tuned using real-world patient data adjudicated by cardiologists, reinforcing the model’s professionalism. ZODIAC undergoes rigorous clinical validation with independent cardiologists, evaluated across eight metrics measuring clinical effectiveness and security concerns. Results show that ZODIAC outperforms industry-leading models, including OpenAI’s GPT-4o, Meta’s Llama-3.1-405B, Google’s Gemini-pro, and medical-specialist LLMs like Microsoft’s BioGPT. By delivering domain-specific solutions that meet the stringent demands of medical practice, ZODIAC demonstrates its transformative potential in healthcare. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Zodiac is a new way for computers to help doctors with heart problems. It takes information from patients and uses it to make reports that are helpful for doctors. The computer system is very good at this because it works like a team of doctors would, looking at all the different pieces of information together. This helps the computer be more accurate and makes it better than other computers that can do similar things. |
Keywords
» Artificial intelligence » Gemini » Gpt » Llama
