Develop a ChatGPT-style system for CT scan analysis
Principal Investigator
Name
Neet Patel
Degrees
B. Tech
Institution
University of California San Diego
Position Title
Student
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-1073
Initial CDAS Request Approval
May 30, 2023
Title
Develop a ChatGPT-style system for CT scan analysis
Summary
The proposed system will leverage the capabilities of ChatGPT to provide an interactive and user-friendly interface for medical professionals and patients who need to analyze and understand CT scan images.
Receive CT scan images as input and ask various questions like generate natural language descriptions of the findings, such as abnormalities, tumor, etc.
Answer questions about the CT scan images, such as the location, size, shape, and severity of the findings, the possible causes and diagnoses etc.
Learn from feedback and corrections from the users and improve its accuracy and reliability over time.
Receive CT scan images as input and ask various questions like generate natural language descriptions of the findings, such as abnormalities, tumor, etc.
Answer questions about the CT scan images, such as the location, size, shape, and severity of the findings, the possible causes and diagnoses etc.
Learn from feedback and corrections from the users and improve its accuracy and reliability over time.
Aims
The specific aims of this project are:
To collect and preprocess a large dataset of CT scan images and their corresponding natural language descriptions.
To evaluate the performance of the system in terms of accuracy, consistency, comprehensibility, informativeness, and user satisfaction.
Collaborators
Prof. Pengtao Xie - University of California, San Diego