MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

New AI System Performs As Well As Radiologists in Detecting Prostate Cancer

By MedImaging International staff writers
Posted on 24 Apr 2019
Researchers from the University of California {(UCLA), Los Angeles, CA, USA} have developed a new artificial intelligence (AI) system to help radiologists improve their ability to diagnose prostate cancer. The system, called FocalNet, helps identify and predict the aggressiveness of the disease evaluating magnetic resonance imaging (MRI) scans with almost the same level of accuracy as experienced radiologists.

Typically, radiologists use MRI to detect and assess the aggressiveness of malignant prostate tumors. However, this requires practicing on thousands of scans to learn how to accurately determine whether a tumor is cancerous or benign and to accurately estimate the grade of the cancer. Additionally, many hospitals lack the resources to implement the highly specialized training required for detecting cancer from MRIs.

FocalNet is an artificial neural network that can help radiologists improve their ability to diagnose prostate cancer by using an algorithm comprising over one million trainable variables. The UCLA researchers trained the system by making it analyze MRI scans of 417 men with prostate cancer. The scans were fed into the system so that it could learn to assess and classify tumors in a consistent way and have it compare the results to the actual pathology specimen. The researchers tested FocalNet and found it to be 80.5% accurate in reading MRIs, as compared to radiologists having at least 10 years of experience who were 83.9% accurate. This suggests that an AI system could save time and potentially provide diagnostic guidance to less-experienced radiologists.

Related Links:
University of California Los Angeles



New
Mammography System (Analog)
MAM VENUS
Ultrasound Imaging System
P12 Elite
Ultrasound-Guided Biopsy & Visualization Tools
Endoscopic Ultrasound (EUS) Guided Devices
Multi-Use Ultrasound Table
Clinton

Latest Industry News News

GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
24 Apr 2019  |   Industry News

Patient-Specific 3D-Printed Phantoms Transform CT Imaging
24 Apr 2019  |   Industry News

Siemens and Sectra Collaborate on Enhancing Radiology Workflows
24 Apr 2019  |   Industry News