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Evaluation of Patients Data using AI techniques and It's Application in Pancreatic Cancer Differential Diagnosis

Principal Investigator
Name
Wanessa Sena
Degrees
M.D.
Institution
Federal Institute of Pernambuco
Position Title
Student at Federal Institute of Pernambuco
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-539
Initial CDAS Request Approval
Oct 10, 2019
Title
Evaluation of Patients Data using AI techniques and It's Application in Pancreatic Cancer Differential Diagnosis
Summary
Pancreatic cancer is a silent disease that presents a high metastatic potential; therefore, the elapsed time to final diagnosis is crutial for the patient. The use of Artificial Intelligence (AI) in health area has been widely studied in recent years. Due to high sensitivity and specificity rates of AI models, it's application in pancreatic cancer diagnosis may be a potential tool to early disease detection. Thus, this project aims to search new strategies for pancreatic cancer diagnosis using different AI techniques.
Aims

> Pancreatic cancer diagnosis
> Data analysis using AI

Collaborators

Renata Freire de Paiva Neves, professor at Federal Institute of Pernambuco.