Clarius Launches AI-Enabled Handheld Wireless Ultrasound Scanners Miniaturized to Size of iPhone
|
By MedImaging International staff writers Posted on 19 Jan 2022 |
|
Clarius Mobile Health (Vancouver, BC, Canada) has become the first company to introduce a third-generation product line of high-performance handheld wireless ultrasound scanners for all medical specialists.
Now 30% lighter and smaller, the new pocket-sized scanners are available with revolutionary pricing and new features that will put premium handheld ultrasound into the hands of more doctors. The entire Clarius HD3 line of ultra-portable scanners is built with the latest antenna technology for steadfast connectivity operating on both iOS and Android devices. Octal beamforming technology delivers up to eight times faster frame rates and micron-level resolution compared to other handhelds. The new Clarius scanners deliver the detailed image quality clinicians rely on to make an accurate diagnosis, treat patients with confidence, and safely guide procedures for consistent patient outcomes.
Clinicians across the medical spectrum can choose from 10 wireless ultrasound scanners that are operated by the Clarius Ultrasound App. A new version of the Clarius Ultrasound application is also being released to the App Store or Google Play store with new AI and imaging tools that further advance image quality, as well as new advanced clinical software packages and features that enable clinicians to personalize their imaging experience. Compatible with most iOS and Android smart devices, the new Clarius Ultrasound App 9 is now available for download to all new and existing Clarius users. The new Clarius scanners have been cleared by the US Food and Drug Administration and regulatory clearance in other regions is pending.
"The new Clarius HD3 is now so remarkably small that it's no bigger than my iPhone," said Clarius CEO Laurent Pelissier. "Our world-class R&D team has miniaturized the high-performance of traditional, cart-based ultrasound systems into a new form factor that truly feels like a traditional ultrasound probe. By replacing complex knobs and buttons with artificial intelligence (AI), it automatically optimizes imaging for ease of use."
"Designing with the best image quality is our core guiding principle, and we delivered with App 9," said Kris Dickie, Vice President of Research and Development at Clarius. "HD Zoom packs more pixels into a small area of focus, full-screen mode fully utilizes the entire mobile screen, while trapezoidal imaging expands the field of view."
Related Links:
Clarius Mobile Health
 Guided Devices.jpg)
Latest Ultrasound News
- Non-Invasive Ultrasound-Based Tool Accurately Detects Infant Meningitis
- Breakthrough Deep Learning Model Enhances Handheld 3D Medical Imaging
- Pain-Free Breast Imaging System Performs One Minute Cancer Scan
- Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery
- New Medical Ultrasound Imaging Technique Enables ICU Bedside Monitoring
- New Incision-Free Technique Halts Growth of Debilitating Brain Lesions
- AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
- AI Identifies Heart Valve Disease from Common Imaging Test
- Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes
- Ultrasound-Based Microscopy Technique to Help Diagnose Small Vessel Diseases
- Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
- Tiny Magnetic Robot Takes 3D Scans from Deep Within Body
- High Resolution Ultrasound Speeds Up Prostate Cancer Diagnosis
- World's First Wireless, Handheld, Whole-Body Ultrasound with Single PZT Transducer Makes Imaging More Accessible
- Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms
- Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy
Channels
Radiography
view channel
AI Hybrid Strategy Improves Mammogram Interpretation
Breast cancer screening programs rely heavily on radiologists interpreting mammograms, a process that is time-intensive and subject to errors. While artificial intelligence (AI) models have shown strong... Read more
AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
Breast cancer remains one of the most common cancers among women, with about one in eight receiving a diagnosis in their lifetime. Despite widespread use of mammography, about 34% of patients in the U.... Read more
MRI
view channel
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read more
Nuclear Medicine
view channel
New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis
Nuclear medicine scans like single-photon emission computed tomography (SPECT) allow doctors to observe heart function, track blood flow, and detect hidden diseases. However, current detectors are either... Read more
Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read more
General/Advanced Imaging
view channel
Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities
Maintaining accuracy and safety in interventional radiology is a constant challenge, especially as complex procedures require both high precision and efficiency. Traditional setups often involve multiple... Read more
Extending CT Imaging Detects Hidden Blood Clots in Stroke Patients
Strokes caused by blood clots or other mechanisms that obstruct blood flow in the brain account for about 85% of all strokes. Determining where a clot originates is crucial, since it guides safe and effective... Read more
Groundbreaking AI Model Accurately Segments Liver Tumors from CT Scans
Liver cancer is the sixth most common cancer worldwide and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is critical for diagnosis and therapy, but manual methods by radiologists... Read more
New CT-Based Indicator Helps Predict Life-Threatening Postpartum Bleeding Cases
Postpartum hemorrhage (PPH) is a leading cause of maternal death worldwide. While most cases can be controlled with medications and basic interventions, some become life-threatening and require invasive treatments.... Read moreImaging IT
view channel
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 more
Industry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more