v0.1.0-alpha

[FMCalisto]

This is the first release of our latest repository exploring the impact of AI agent adaptability on human-AI interactions in the medical field. Our study focuses on comparing the outputs of an AI agent that incorporates granular patient information and can adapt its communication tone to the medical experience of the clinician, to a conventional agent that only provides numeric estimates. During the development of the 0.1.0-alpha milestone, is just a small iteration of our framework. This version was created as a result of the CHI 2023 R&R process and represents a small iteration of our research work.

Highlights

• This release presents the first exploration of the effect of AI agent adaptability on human-AI interactions in the medical field;

• The present results of the study compares AI outputs that provide detailed information for clinicians about the patient;

• The results of the study were obtained using a dataset of medical images and patient information, where the AI agents are trained to classify images based on various features;

• This release includes the data, source code, and a detailed explanation of the methods and results, making it easy for other researchers to build upon this work;

Project Board

For more details related to the release tracking path, visit 0.1.0-alpha milestone. The project board contains a list of issues associated with this milestone. By referring to the project board, you can get a comprehensive overview of the progress of the 0.1.0-alpha milestone and understand the status of the various tasks associated with it. This can help you to stay informed about the development of the AI agent and the study, and provide you with the information you need to make informed decisions.

---

This discussion was created from the release v0.1.0-alpha.