Spots Global Cancer Trial Database for Artificial Intelligence in EUS for Diagnosing Pancreatic Solid Lesions
The following info and data is provided "as is" to help patients around the globe.
We do not endorse or review these studies in any way.
Trial Identification
Brief Title: Artificial Intelligence in EUS for Diagnosing Pancreatic Solid Lesions
Official Title: Utilization of Artificial Intelligence for the Development of an EUS-convolution Neural Network Model Trained to Differentiate Pancreatic Cancer From Other Pancreatic Solid Lesions
Study ID: NCT05476978
Interventions
Study Description
Brief Summary: We aim to develop an EUS-AI model which can facilitate clinical diagnosis by analyzing EUS pictures and clinical parameters of patients.
Detailed Description: EUS is considered to be a more sensitive modality than CT in detecting pancreatic solid lesions due to its high spatial resolution. However, the diagnostic performance is largely dependent on the experience and the technical abilities of the practitioners. Therefore, we aim to develop an objective EUS diagnostic model based on the convolutional neural network, an artificial intelligence technique. In addition, clinical parameters such as risk factors, tumor biomarkers and radiology findings are also added to this artificial intelligence model in order to mimic the actual clinical diagnosis procedures and to increase the performance of this model.
Eligibility
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Locations
Tongji hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Contact Details
Take Control of Your Skin and Body Changes Today.
Try out Spots for free, set up only takes 2 mins.
Join others from around the world:
