We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Sekisui Diagnostics UK Ltd.

Download Mobile App




AI Applied to Micro-Ultrasound Could Speed Cancer Detection

By HospiMedica International staff writers
Posted on 24 Sep 2018
Cambridge Consultants (Cambridge, UK) and Exact Imaging (Markham, ON, USA) are working together to improve the way prostate cancer is visualized and detected by applying deep learning to high-resolution micro-ultrasound imaging. More...
This can help identify potential suspicious regions of tissue and inform urologists who may want to consider this additional data in their biopsy protocol. The early results of their work have been promising.

Exact Imaging develops high-resolution micro-ultrasound systems enabling real-time imaging and guided biopsies in the urological market for prostate cancer. It is the maker of the ExactVu micro-ultrasound platform, an imaging tool which allows urologists to harness “micro”-ultrasound’s near microscopic resolution in order to visualize suspicious regions and actually target their biopsies to those regions.

Cambridge Consultants is at the forefront of advances in machine learning and deep learning, applying this transformative technology to a wide range of industries and disciplines. The current work on prostate cancer is the latest output from Cambridge Consultants’ Digital Greenhouse, a unique experimental environment where data scientists and engineers explore and develop cutting edge machine learning and deep learning techniques and which aims to ensure that deep learning is potent beyond the huge online datasets that have powered advances to date. Recent work has focused on applying deep learning in areas where massive datasets are unavailable. In the case of its work on prostate cancer, data was available for hundreds of patients.

With Cambridge Consultants’ AI tools being able to interrogate the full ultrasound data set when correlated to pathology, the analysis is expected to deliver improved accuracy and better characterization of suspicious regions. The machine learning approach being applied is faster and less computationally intensive than traditional statistical approaches and could ultimately form the backbone of a commercially viable software application. Early results from proof of concept testing show significant promise, even with relatively limited data sets.

“The need for effective management of prostate cancer is as pressing as ever,” said Shweta Gupta, Head of Urology and Women’s Health at Cambridge Consultants. “We are proud to have the opportunity to try and improve the detection pathway and excited by the opportunity to apply deep learning to this significant clinical problem.”

Related Links:
Cambridge Consultants
Exact Imaging


Platinum Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Gold Member
Electrode Solution and Skin Prep
Signaspray
Newborn Hearing Screener
ALGO 7i
Radiology System
Riviera SPV AT
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Surgical Techniques

view channel
Image: Miniaturized electric generators based on hydrogels for use in biomedical devices (Photo courtesy of HKU)

Hydrogel-Based Miniaturized Electric Generators to Power Biomedical Devices

The development of engineered devices that can harvest and convert the mechanical motion of the human body into electricity is essential for powering bioelectronic devices. This mechanoelectrical energy... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.