Cutting-Edge AI Software Automatically Analyzes Screening Mammograms to Accurately Diagnose Breast Cancer Much Earlier
|
By MedImaging International staff writers Posted on 14 Jan 2021 |
|
Illustration
A cutting-edge artificial intelligence (AI) solution assists radiologists in the interpretation of screening mammograms and allows them to diagnose breast cancer earlier and more accurately.
The MammoScreen software from Therapixel (Paris, France) helps in reading digital mammograms to detect and qualify suspicious tissue whether they are likely to be cancerous. It uses the proprietary MammoScreen Score to provide an immediate level-of-suspicion scoring of screenings; confirming certain findings, and pointing out unsure cases that demand further scrutiny. By providing AI-guided decision-making support for breast cancer screening, MammoScreen allows radiologists to validate their suspicions, identify what they might have overlooked, and focus on uncertain studies requiring more attention.
Its non-intrusive design does not interrupt the current workflow, providing instead the results on a dedicated monitor, or side-by-side with the radiologist’s reporting software. The interface presents all the required information and a synchronization with the worklist, at once, with no additional clicks.
Using deep learning technologies, the algorithm was trained to recognize cancer lesions on hundreds of thousands of cases that were previously annotated by breast radiologist experts and confirmed when needed by a biopsy. A clinical study has shown that radiologists assisted by MammoScreen have a better performance than without the software. After having received FDA clearance for commercial sales in the US in March 2020, the AI solution is now available in the European market.
"We are proud to have received the CE Mark. This brings us a step closer to our goal of reducing breast cancer burden worldwide by improving breast cancer screening," said Pierre Fillard, Therapixel's Founder and Chief Scientific Officer.
"I am confident that MammoScreen will not only increase radiologists' performance but will also improve the patient experience by reassuring women faster," added Matthieu Leclerc-Chalvet, CEO of Therapixel.
Related Links:
Therapixel
The MammoScreen software from Therapixel (Paris, France) helps in reading digital mammograms to detect and qualify suspicious tissue whether they are likely to be cancerous. It uses the proprietary MammoScreen Score to provide an immediate level-of-suspicion scoring of screenings; confirming certain findings, and pointing out unsure cases that demand further scrutiny. By providing AI-guided decision-making support for breast cancer screening, MammoScreen allows radiologists to validate their suspicions, identify what they might have overlooked, and focus on uncertain studies requiring more attention.
Its non-intrusive design does not interrupt the current workflow, providing instead the results on a dedicated monitor, or side-by-side with the radiologist’s reporting software. The interface presents all the required information and a synchronization with the worklist, at once, with no additional clicks.
Using deep learning technologies, the algorithm was trained to recognize cancer lesions on hundreds of thousands of cases that were previously annotated by breast radiologist experts and confirmed when needed by a biopsy. A clinical study has shown that radiologists assisted by MammoScreen have a better performance than without the software. After having received FDA clearance for commercial sales in the US in March 2020, the AI solution is now available in the European market.
"We are proud to have received the CE Mark. This brings us a step closer to our goal of reducing breast cancer burden worldwide by improving breast cancer screening," said Pierre Fillard, Therapixel's Founder and Chief Scientific Officer.
"I am confident that MammoScreen will not only increase radiologists' performance but will also improve the patient experience by reassuring women faster," added Matthieu Leclerc-Chalvet, CEO of Therapixel.
Related Links:
Therapixel
Multi-Use Ultrasound Table
Clinton
Portable X-ray Unit
AJEX140H
MRI System
nanoScan MRI 3T/7T
Breast Localization System
MAMMOREP LOOP
Latest Industry News News
- GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
- Nuclear Medicine Set for Continued Growth Driven by Demand for Precision Diagnostics
- GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
- Patient-Specific 3D-Printed Phantoms Transform CT Imaging
- Siemens and Sectra Collaborate on Enhancing Radiology Workflows
- Bracco Diagnostics and ColoWatch Partner to Expand Availability CRC Screening Tests Using Virtual Colonoscopy
- Mindray Partners with TeleRay to Streamline Ultrasound Delivery
- Philips and Medtronic Partner on Stroke Care
- Siemens and Medtronic Enter into Global Partnership for Advancing Spine Care Imaging Technologies
- RSNA 2024 Technical Exhibits to Showcase Latest Advances in Radiology
- Bracco Collaborates with Arrayus on Microbubble-Assisted Focused Ultrasound Therapy for Pancreatic Cancer
- Innovative Collaboration to Enhance Ischemic Stroke Detection and Elevate Standards in Diagnostic Imaging
- RSNA 2024 Registration Opens
- Microsoft collaborates with Leading Academic Medical Systems to Advance AI in Medical Imaging
- GE HealthCare Acquires Intelligent Ultrasound Group’s Clinical Artificial Intelligence Business
- Bayer and Rad AI Collaborate on Expanding Use of Cutting Edge AI Radiology Operational Solutions
Channels
Radiography
view channel
Simple Chest X-Ray Measure Predicts Survival After Lung Cancer Surgery
Obstructive ventilatory disorder, marked by airflow limitation that reduces breathing efficiency, increases postoperative risk in patients with lung cancer. Although surgery offers the best chance of cure,... Read more
AI Detection Tool Improves Identification of Lobular Breast Cancer
Breast cancer screening seeks early detection, yet some subtypes remain difficult to visualize on mammography, risking delayed diagnosis. On average, 1 in 20 women worldwide will develop breast cancer,... Read more
MRI
view channel
Deep Learning Model Predicts Alzheimer’s Disease Outcomes from Baseline MRI
Alzheimer’s disease, which accounts for 60% to 70% of dementia cases worldwide, remains difficult to predict early in its course. Accurate prognostication typically relies on neuropsychological testing,... Read more
AI Body Composition MRI Analysis Predicts Cardiometabolic Disease Risk
Cardiometabolic disease, driven by interactions between cardiovascular and metabolic systems, is a leading cause of morbidity and mortality. Risk assessment often relies on body mass index, which overlooks... Read more
Ultrasound
view channel
AI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
Echocardiography, an ultrasound examination of the heart, is central to diagnosing and managing cardiovascular disease. Many services struggle with limited availability of skilled sonographers, variable... Read more
Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
Conventional ultrasound is central to bedside imaging but is limited by a narrow field of view and operator variability. Comprehensive cross-sectional assessment typically requires computed tomography... Read more
Nuclear Medicine
view channel
MR-Guided Cardiac Mapping System Enables Radiation-Free Procedures
Cardiac electrophysiology procedures are typically guided by X-ray fluoroscopy, which limits soft-tissue visualization and exposes patients and clinical staff to ionizing radiation. Real-time mapping that... Read more
PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
Type 1 diabetes is an autoimmune disease in which the immune system destroys insulin-producing pancreatic beta cells. Loss of these cells destabilizes glucose control and drives complications.... Read more
New Imaging Tool Sheds Light on Tumor Fat Metabolism
Rapidly growing tumors reprogram metabolism to meet high energy demands. While many cancers preferentially consume glucose, lipid utilization by malignant cells is difficult to measure in living subjects.... Read more
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read moreGeneral/Advanced Imaging
view channel
AI Tool Automates Radiotherapy Planning for Cervical and Prostate Cancer
Cervical cancer causes most of its global mortality in low- and middle-income countries, where radiotherapy capacity and specialist staff are limited. Treatment planning is labor-intensive and can delay... Read more
New Proton Therapy Platform Integrates into Existing Radiotherapy Departments
Mevion Medical Systems (Littleton, MA, USA) has introduced the MEVION S250-FIT Proton Therapy System to the European radiation oncology community at ESTRO 2026, the first proton therapy platform designed... Read more
3D-Printed Intraoral Device Enhances Head and Neck Radiotherapy Accuracy
Ensuring consistent immobilization and soft-tissue positioning is central to safe, effective head and neck radiotherapy, where protection of organs at risk must be balanced with dose accuracy.... Read more
Molecular Imaging Agent Shows Promise for Endometriosis Detection and Monitoring
Diagnosing endometriosis remains challenging, particularly for superficial peritoneal endometriosis, the most common subtype, which is often missed on conventional imaging and typically requires laparoscopic... Read moreImaging IT
view channel
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
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