Carestream Joins Zebra Medical Vision to Provide Access to AI Algorithms
|
By MedImaging International staff writers Posted on 27 Nov 2017 |

Image: The AI1 campaign allows customers to pay a flat fee per scan for unlimited access to artificial intelligence (AI) algorithms (Photo courtesy of Carestream Health).
Carestream Health (Rochester, NY, USA), a provider of medical imaging systems and IT solutions, has joined Zebra Medical Vision’s (Kibbutz Shefayim, Israel) AI1 campaign, which allows customers to pay a flat fee per scan for unlimited access to artificial intelligence (AI) algorithms. The new deep learning engine will be integrated into the Carestream Clinical Collaboration Platform offering to assist radiologists in delivering more comprehensive clinical services across a variety of clinical domains.
Zebra Medical Vision uses AI and deep learning to create and provide next generation products and services for the healthcare industry. The company’s Imaging Analytics Platform can automatically detect various medical findings in imaging scans. Its current capabilities include automatic detection of liver, lung, cardiovascular and bone disease, with new capabilities covering breast and lung cancer, brain trauma, hypertension and other clinical areas being constantly released.
By integrating Zebra-Med’s findings into the Diagnostic Carestream Workstation, radiologists can seamlessly include them in their reading and reporting workflow. This automated assistance results in a more comprehensive, quantitative and consistent reporting, thereby improving the output of radiologists and assisting in an overall improvement in patient care.
“We have been successfully collaborating with Zebra for the past year, and this marks another important milestone in our ability to deliver the broadest AI solution in the market today to both existing and new customers,” said Ludovic D’Aprea, Global GM of Healthcare Information Solutions for Carestream.
“Carestream is a leader in Radiology solutions across many countries where the AI1 solution can make a significant impact on patient care,” added Elad Benjamin, Co-Founder and CEO of Zebra Medical Vision. “We’re excited by the opportunities this provides to empower radiologists and help them meet the day-to-day challenges they face.”
Carestream also sponsored the Machine Learning Showcase at the 2017 edition of the Radiological Society of North America’s annual meeting (RSNA) held in Chicago from November 26 to December 1.
Zebra Medical Vision uses AI and deep learning to create and provide next generation products and services for the healthcare industry. The company’s Imaging Analytics Platform can automatically detect various medical findings in imaging scans. Its current capabilities include automatic detection of liver, lung, cardiovascular and bone disease, with new capabilities covering breast and lung cancer, brain trauma, hypertension and other clinical areas being constantly released.
By integrating Zebra-Med’s findings into the Diagnostic Carestream Workstation, radiologists can seamlessly include them in their reading and reporting workflow. This automated assistance results in a more comprehensive, quantitative and consistent reporting, thereby improving the output of radiologists and assisting in an overall improvement in patient care.
“We have been successfully collaborating with Zebra for the past year, and this marks another important milestone in our ability to deliver the broadest AI solution in the market today to both existing and new customers,” said Ludovic D’Aprea, Global GM of Healthcare Information Solutions for Carestream.
“Carestream is a leader in Radiology solutions across many countries where the AI1 solution can make a significant impact on patient care,” added Elad Benjamin, Co-Founder and CEO of Zebra Medical Vision. “We’re excited by the opportunities this provides to empower radiologists and help them meet the day-to-day challenges they face.”
Carestream also sponsored the Machine Learning Showcase at the 2017 edition of the Radiological Society of North America’s annual meeting (RSNA) held in Chicago from November 26 to December 1.
Latest RSNA 2017 News
- Siemens Healthineers Launches New Mammography System at RSNA
- New Real-Time Imaging AI Platform Unveiled
- Bracco Diagnostics Highlights Advancement in Diagnostic Imaging Portfolio
- Varex Imaging Showcases New X-ray Components at Trade Fair
- Samsung Unveils New Mobile CT at RSNA 2017
- Thales Unveils World’s First Portable Detector with Embedded Patient ID
- PACSHealth Showcases DoseMonitor Upgrade at Chicago Trade Show
- Carestream Exhibits New Diagnostic Imaging Solutions in Chicago
- Siemens Healthineers Spotlights Advances in Breast Imaging
- Agfa HealthCare Presents Advances in AI and Machine Learning at RSNA 2017
- Philips Showcases New Imaging Systems and Informatics Portfolio at RSNA
- Fujifilm Debuts New FDR Go PLUS Version Portable System
- Canon Showcases New DR Systems at Medical Imaging Fair
- Aspect Imaging Presents Neonatal MRI System at RSNA 2017
- Visage Imaging Debuts AI Offerings at Chicago Show
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 moreMRI
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 moreUltrasound
view channelAI 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 moreNuclear Medicine
view channelMR-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
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more








