New Ultrasound Scanner App Automatically Detects Body Anatomy
By MedImaging International staff writers Posted on 02 Jun 2021 |

Image: Clarius high-definition ultrasound scanners now enable clinicians to quickly examine the abdomen, heart, lungs, bladder, and other superficial structures (Photo courtesy of Clarius Mobile Health)
An advanced ultrasound scanner software app uses artificial intelligence (AI) and machine learning (ML) to instantly recognize human anatomy.
The app, designed for the Clarius Mobile Health (Clarius; Burnaby, Canada) Clarius C3 HD multipurpose and Clarius PA HD phased array ultrasound systems, is ideally suited for emergency medical service (EMS), critical care, and primary care users, enabling them to quickly and accurately examine the abdomen, heart, lungs, bladder, and other important structures without needing time-consuming interaction. Users simply need to select Auto Preset AI and the Clarius app will automatically adjust settings to optimize imaging for the area being examined.
In addition to Auto Preset AI, version 8.0 of the Clarius ultrasound app includes dozens of new features and enhancements, such as the ability to capture and document photographs taken with the mobile device camera (alongside the ultrasound images), providing context for education, reporting, and patient information. Users can also share interesting cases more easily to their social networks for commentary, as all images and clips remain anonymous to protect patient identity. Sharing also allows users to take advantage of native mobile device Integrations, such as Apple's AirDrop.
“Although machine learning and artificial intelligence have been applied to medical imaging over the past several years, this is the first commercially available application that enables an ultrasound system to recognize anatomy on a macro level, allowing the AI to recognize different structures in the human torso,” said Kris Dickie, vice president of research and development at Clarius. “We've labelled tens of thousands of ultrasound images within our vast database to achieve this exciting breakthrough, which will help clinicians to get the answers they need more rapidly.”
“Ultrasound is an amazing tool that gives those of us who know how to use it an instant window into the patient's body,” said Oron Frenkel, MD, chairman of the Clarius medical advisory board. “Besides Auto Preset AI, which will set up novice users for success from day one, we now have nearly 100 ultrasound tutorials that can be viewed in-app. Through this integration, users can easily toggle between watching the video and scanning their patient. Clarius Classroom provides an excellent way to learn.”
Clinicians are free to choose from ten wireless ultrasound scanners that are operated by the Clarius Ultrasound app, which can be downloaded from the Apple App Store or Google Play store for free. The app is compatible with most iOS and Android smart devices for high-definition (HD) imaging.
Related Links:
Clarius Mobile Health
The app, designed for the Clarius Mobile Health (Clarius; Burnaby, Canada) Clarius C3 HD multipurpose and Clarius PA HD phased array ultrasound systems, is ideally suited for emergency medical service (EMS), critical care, and primary care users, enabling them to quickly and accurately examine the abdomen, heart, lungs, bladder, and other important structures without needing time-consuming interaction. Users simply need to select Auto Preset AI and the Clarius app will automatically adjust settings to optimize imaging for the area being examined.
In addition to Auto Preset AI, version 8.0 of the Clarius ultrasound app includes dozens of new features and enhancements, such as the ability to capture and document photographs taken with the mobile device camera (alongside the ultrasound images), providing context for education, reporting, and patient information. Users can also share interesting cases more easily to their social networks for commentary, as all images and clips remain anonymous to protect patient identity. Sharing also allows users to take advantage of native mobile device Integrations, such as Apple's AirDrop.
“Although machine learning and artificial intelligence have been applied to medical imaging over the past several years, this is the first commercially available application that enables an ultrasound system to recognize anatomy on a macro level, allowing the AI to recognize different structures in the human torso,” said Kris Dickie, vice president of research and development at Clarius. “We've labelled tens of thousands of ultrasound images within our vast database to achieve this exciting breakthrough, which will help clinicians to get the answers they need more rapidly.”
“Ultrasound is an amazing tool that gives those of us who know how to use it an instant window into the patient's body,” said Oron Frenkel, MD, chairman of the Clarius medical advisory board. “Besides Auto Preset AI, which will set up novice users for success from day one, we now have nearly 100 ultrasound tutorials that can be viewed in-app. Through this integration, users can easily toggle between watching the video and scanning their patient. Clarius Classroom provides an excellent way to learn.”
Clinicians are free to choose from ten wireless ultrasound scanners that are operated by the Clarius Ultrasound app, which can be downloaded from the Apple App Store or Google Play store for free. The app is compatible with most iOS and Android smart devices for high-definition (HD) imaging.
Related Links:
Clarius Mobile Health
Latest Ultrasound News
- 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
- AI Improves Detection of Congenital Heart Defects on Routine Prenatal Ultrasounds
- AI Diagnoses Lung Diseases from Ultrasound Videos with 96.57% Accuracy
- New Contrast Agent for Ultrasound Imaging Ensures Affordable and Safer Medical Diagnostics
- Ultrasound-Directed Microbubbles Boost Immune Response Against Tumors
- POC Ultrasound Enhances Early Pregnancy Care and Cuts Emergency Visits
- AI-Based Models Outperform Human Experts at Identifying Ovarian Cancer in Ultrasound Images
- Automated Breast Ultrasound Provides Alternative to Mammography in Low-Resource Settings
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreMRI
view channel
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... 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 moreIndustry 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