Summary of Towards Conversational Diagnostic Ai, by Tao Tu et al.
Towards Conversational Diagnostic AI
by Tao Tu, Anil Palepu, Mike Schaekermann, Khaled Saab, Jan Freyberg, Ryutaro Tanno, Amy Wang, Brenna Li, Mohamed Amin, Nenad Tomasev, Shekoofeh Azizi, Karan Singhal, Yong Cheng, Le Hou, Albert Webson, Kavita Kulkarni, S Sara Mahdavi, Christopher Semturs, Juraj Gottweis, Joelle Barral, Katherine Chou, Greg S Corrado, Yossi Matias, Alan Karthikesalingam, Vivek Natarajan
First submitted to arxiv on: 11 Jan 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Machine Learning (cs.LG)
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 The paper introduces AMIE, a Large Language Model-based AI system designed to facilitate diagnostic dialogue in medicine. The goal is to develop an artificial intelligence capable of replicating clinicians’ expertise in history-taking, leading to improved accuracy, consistency, and quality of care. AMIE is optimized for diagnostic dialogue, aiming to increase accessibility and trust between patients and physicians. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary In simple terms, this paper creates a special computer program that can have conversations with doctors and patients like humans do. The program, called AMIE, is meant to help doctors make accurate diagnoses and manage patient care more effectively. By developing an AI system that can mimic how doctors think and talk, the researchers hope to improve healthcare by making it more accessible and trustworthy. |
Keywords
* Artificial intelligence * Large language model
