First AI-Based Tool for Pulmonary Embolism Receives CE Certification
By MedImaging International staff writers Posted on 19 Mar 2019 |
Aidoc (Tel Aviv, Israel), a provider of artificial intelligence (AI) solutions for radiologists, has announced the commercial release of its CE-marked product for the identification and triage of pulmonary embolism (PE) in CT pulmonary angiograms.
Aidoc is a provider of AI solutions that support and enhance the impact of radiologist diagnostic power - helping them expedite patient treatment and improve quality of care. The company's solutions reduce turnaround time and increase quality and efficiency by flagging acute anomalies in real time. Radiologists benefit from state-of-the-art deep learning technology that is "Always -on", running behind the scenes freeing them to focus on the diagnosis itself. Aidoc's healthcare-grade deep learning algorithms benefit from large quantities of data, making their solutions the most comprehensive in the field, and enabling them to provide diagnostic aid to the broadest set of pathologies.
PE diagnosis can be highly challenging due to its variable and non-specific presentation, making the case that it can truly benefit from AI-driven workflow triage. By flagging obstructions in blood-flow to the lungs, Aidoc prioritizes radiologists' work-queues and helps them detect critical conditions faster, leading to quicker treatment and saving lives.
"We're happy to provide the market with yet another CE marked time-sensitive pathology in our full-body AI solution," said Elad Walach, Aidoc co-founder and CEO. "Together with our CE marked solutions for flagging intracranial hemorrhage and c-spine fractures, our comprehensive solution runs in the background and gives the radiologist the peace of mind that no urgent cases are sitting at the bottom of the worklist waiting to be read."
Related Links:
Aidoc
Aidoc is a provider of AI solutions that support and enhance the impact of radiologist diagnostic power - helping them expedite patient treatment and improve quality of care. The company's solutions reduce turnaround time and increase quality and efficiency by flagging acute anomalies in real time. Radiologists benefit from state-of-the-art deep learning technology that is "Always -on", running behind the scenes freeing them to focus on the diagnosis itself. Aidoc's healthcare-grade deep learning algorithms benefit from large quantities of data, making their solutions the most comprehensive in the field, and enabling them to provide diagnostic aid to the broadest set of pathologies.
PE diagnosis can be highly challenging due to its variable and non-specific presentation, making the case that it can truly benefit from AI-driven workflow triage. By flagging obstructions in blood-flow to the lungs, Aidoc prioritizes radiologists' work-queues and helps them detect critical conditions faster, leading to quicker treatment and saving lives.
"We're happy to provide the market with yet another CE marked time-sensitive pathology in our full-body AI solution," said Elad Walach, Aidoc co-founder and CEO. "Together with our CE marked solutions for flagging intracranial hemorrhage and c-spine fractures, our comprehensive solution runs in the background and gives the radiologist the peace of mind that no urgent cases are sitting at the bottom of the worklist waiting to be read."
Related Links:
Aidoc
Latest Industry News News
- Bayer and Google Partner on New AI Product for Radiologists
- Samsung and Bracco Enter Into New Diagnostic Ultrasound Technology Agreement
- IBA Acquires Radcal to Expand Medical Imaging Quality Assurance Offering
- International Societies Suggest Key Considerations for AI Radiology Tools
- Samsung's X-Ray Devices to Be Powered by Lunit AI Solutions for Advanced Chest Screening
- Canon Medical and Olympus Collaborate on Endoscopic Ultrasound Systems
- GE HealthCare Acquires AI Imaging Analysis Company MIM Software
- First Ever International Criteria Lays Foundation for Improved Diagnostic Imaging of Brain Tumors
- RSNA Unveils 10 Most Cited Radiology Studies of 2023
- RSNA 2023 Technical Exhibits to Offer Innovations in AI, 3D Printing and More
- AI Medical Imaging Products to Increase Five-Fold by 2035, Finds Study
- RSNA 2023 Technical Exhibits to Highlight Latest Medical Imaging Innovations
- AI-Powered Technologies to Aid Interpretation of X-Ray and MRI Images for Improved Disease Diagnosis
- Hologic and Bayer Partner to Improve Mammography Imaging
- Global Fixed and Mobile C-Arms Market Driven by Increasing Surgical Procedures
- Global Contrast Enhanced Ultrasound Market Driven by Demand for Early Detection of Chronic Diseases