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
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




New Project Studies If AI Can Improve Breast Cancer Detection

By MedImaging International staff writers
Posted on 20 Dec 2017
Print article
Image: A new research collaboration aims to improve breast cancer diagnosis using AI (Photo courtesy of Imperial College London).
Image: A new research collaboration aims to improve breast cancer diagnosis using AI (Photo courtesy of Imperial College London).
A new project by a consortium of leading breast cancer experts, clinicians and academics, and leaders in artificial intelligence (AI) research will explore whether AI can help detect and diagnose breast cancers more effectively. The consortium, led by Imperial College London (London, UK) and based at the Cancer Research UK Imperial Centre, will explore how AI can improve breast screening for more accurate detection of cancers.

Machine learning technology from DeepMind Health and the AI health research team at Google will be applied to historic ‘de-identified’ mammograms from around 7,500 women provided by the Cancer Research UK-funded OPTIMAM database at the Royal Surrey County Hospital NHS Foundation Trust. The team plans to explore if it is possible to train computer algorithms to analyze these images, spot signs of cancerous tissue and alert radiologists more accurately than the current techniques allow. The researchers hope that more international research partners will join the project over the next 12 months so that the research, if successful, could eventually lead to technology that can assist clinicians around the world in making more accurate diagnoses, resulting in earlier detection and intervention for patients.

"This partnership marks an exciting exploration of the potential for artificial intelligence in healthcare," said Professor Ara Darzi, Director of the Cancer Research UK Imperial Centre. "Ultimately, we want this kind of technology to benefit patients and it may be a number of years until this kind of approach is used, but if these initial trials prove successful, AI could make screening services for cancer far more efficient and improve outcomes."

"Harnessing the power of artificial intelligence could enable us to address some of the biggest challenges in breast cancer research, including improving the accuracy of detection," added Dr Iain Foulkes, Cancer Research UK’s Executive Director of Research and Innovation. "Too many cancers are detected at a late stage when they are more difficult to treat. This is why Cancer Research UK is building capacity, forging new partnerships, and supporting a community for early detection research so that more people might survive their disease."

Related Links:
Imperial College London

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Ultrasound Doppler System
Doppler BT-200
Silver Member
Mobile X-Ray Barrier
Lead Acrylic Mobile X-Ray Barriers
New
Enterprise Imaging & Reporting Solution
Syngo Carbon

Print article
Radcal

Channels

MRI

view channel
Image: PET/MRI can accurately classify prostate cancer patients (Photo courtesy of 123RF)

PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients

The Prostate Imaging Reporting and Data System (PI-RADS) is a five-point scale to assess potential prostate cancer in MR images. PI-RADS category 3 which offers an unclear suggestion of clinically significant... Read more

Nuclear Medicine

view channel
Image: The new SPECT/CT technique demonstrated impressive biomarker identification (Journal of Nuclear Medicine: doi.org/10.2967/jnumed.123.267189)

New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access

The development of lead-212 (212Pb)-PSMA–based targeted alpha therapy (TAT) is garnering significant interest in treating patients with metastatic castration-resistant prostate cancer. The imaging of 212Pb,... Read more

General/Advanced Imaging

view channel
Image: The Tyche machine-learning model could help capture crucial information. (Photo courtesy of 123RF)

New AI Method Captures Uncertainty in Medical Images

In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.