Achievements and Progress?

Our project involves gathering comprehensive medical information and data related to prostate cancer diagnosis. This includes clinical records, medical imaging studies (such as MRI and ultrasound scans), genomic data, and patient-reported outcomes. (We have prepared and marked more than 2000 data samples)

We developed algorithms that can identify abnormalities in prostate imaging, such as masses or lesions, which may indicate the presence of tumors or abnormal tissue growth.

Our achievements

1

We also performed an analysis of any asymmetry in prostate tissue, including variations in shape, density, or positioning. This analysis helps in determining the presence and extent of abnormalities

2

We designed follow-up procedures to guide clinicians in further investigation and diagnosis in cases where abnormalities are detected.

3

We facilitated additional diagnostic procedures to determine the stage and extent of cancer, aiding in treatment planning and prognosis assessment, for cases where malignancy is confirmed.

4

We successfully created AI algorithms for analyzing prostate imaging data. These algorithms utilize artificial neural networks to learn from input data and make accurate predictions and classifications.

5

We curated a diverse dataset of prostate images, including images with diagnosed prostate cancer, images of normal prostate tissue, and mixed images for testing AI algorithms.

6

We integrated our image analysis algorithms with AI capabilities, optimizing the system’s performance in terms of speed, sensitivity, and specificity through continuous refinement and testing.

7

We also utilized the latest wireless and cloud technology, such as Bluetooth, Wi-Fi, and 5G, to connect the ultrasound device with our AI platform.