Development of Medical AI for Cancer Diagnosis and Area Detection

Principal Investigator

Name
hyunwoo kim

Degrees
M.D.

Institution
VUNO

Position Title
Reasearcher

Email
hyunwoo.kim@vuno.co

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCOI-1484

Initial CDAS Request Approval
Feb 26, 2024

Title
Development of Medical AI for Cancer Diagnosis and Area Detection

Summary
The project aims to develop a cutting-edge Medical AI system designed to assist in medical diagnoses, specifically focusing on the detection and analysis of cancerous tissues. This AI tool is being created to serve as a vital resource for physicians, providing them with enhanced diagnostic capabilities and supporting them in delivering more accurate and efficient patient care. Utilizing the latest advancements in technology, the project will incorporate a variety of sophisticated methodologies, including deep learning algorithms and machine learning techniques such as convolutional neural networks (CNNs), transformer networks, and generative algorithms like diffusion networks. By integrating these powerful technologies, our goal is to refine the precision of medical diagnostics and introduce a new level of innovation in the field of healthcare, ultimately benefiting doctors and patients alike

Aims

1. Analyze data to understand the correlation between metadata, such as gender or age, and imaging, identifying patterns and insights that can aid in diagnosis.
2. Develop a cancer diagnosis solution using deep learning algorithms, leveraging the power of AI to enhance accuracy and efficiency in detecting and diagnosing cancer.

Collaborators

vuno