Philips’ Industry First Integrated, Diagnostic Quality Tele-Ultrasound Technology Allows Clinicians to Collaborate in Real-Time
|
By MedImaging International staff writers Posted on 14 Mar 2022 |

Ultrasound imaging is one of the most accessible and low-cost imaging modalities. However, capturing and interpreting the acquired images and making an accurate diagnosis requires a great deal of expertise and skill. While ultrasound equipment is readily available both in hospitals and healthcare settings, widespread staffing shortages can impede access to care. In addition, the COVID-19 pandemic highlighted the risk to clinicians in contact with infectious patients, and the resulting backlog of postponed exams is now increasing workloads and driving the need for greater efficiency. Now, an industry first integrated, diagnostic quality tele-ultrasound technology lets clinicians talk, text, screen share, and transfer control to remote colleagues in real time.
Royal Philips’ (Amsterdam, the Netherlands) Collaboration Live has received expansion of its U.S. Food & Drug Administration 510(k) market clearance for remote diagnostic use on additional mobile platforms. Available on Philips Ultrasound Systems EPIQ and Affiniti, Collaboration Live allows clinicians to collaborate in real-time with colleagues in order to complete image acquisition and diagnosis regardless of location. With its expanded clearance for diagnostic use on additional platforms, clinicians now have the ability to consult or diagnose from their mobile device, check the strength of their bandwidth before making a call, and check their remote screen calibration to ensure image quality is appropriate for diagnosis. This can enable greater efficiency and flexibility for clinicians since they are no longer limited to a PC for remote collaboration.
Philips Collaboration Live lets users quickly and securely talk, text, screen-share, and video-stream directly from a Philips Ultrasound System EPIQ or Affiniti to a compatible remote PC or mobile device. In addition to allowing remote clinicians to view real-time diagnostic ultrasound images and communicate with the local clinician and patient to provide guidance and ask questions, the ultrasound user can give remote control of the ultrasound system to the remote user, enabling them to enhance image quality, capture a new image or make a measurement. These combined features as well as the ability to check the calibration of the remote viewing screen provide the high diagnostic confidence needed to help optimize patient outcomes.
Collaboration Live can help hospitals standardize care across locations and support remote staff via protocol training, remote support during ultrasound examinations, and real-time communication between clinicians and patients, helping to ensure the same high standard of care wherever it is delivered. Collaboration Live is applicable in any area of medicine - such as breast imaging and hepatology, where ultrasound can provide important diagnostic information - including maternal fetal medicine when dealing with the potential of high-risk pregnancies, as well as cardiac imaging.
“We are committed to helping our customers deliver better access to care for their patients regardless of their location at any time. Collaboration Live is a perfect example of how Philips is delivering an expanded experience for patients and healthcare professionals through telemedicine,” said Gerois Di Marco, General Manager Global Ultrasound Services & Solutions at Philips. “Sonographers no longer have to feel they are alone or limited to only acquiring ultrasound images and preparing a report for subsequent clinical review. They can now call on the expertise of colleagues during ultrasound examinations to deliver on-the-spot accurate diagnosis that every patient deserves.”
Related Links:
Royal Philips
Latest Ultrasound News
- Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
- Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
- Ultrasound Probe Images Entire Organ in 4D

- Disposable Ultrasound Patch Performs Better Than Existing Devices
- 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
Channels
Radiography
view channel
Routine Mammograms Could Predict Future Cardiovascular Disease in Women
Mammograms are widely used to screen for breast cancer, but they may also contain overlooked clues about cardiovascular health. Calcium deposits in the arteries of the breast signal stiffening blood vessels,... Read more
AI Detects Early Signs of Aging from Chest X-Rays
Chronological age does not always reflect how fast the body is truly aging, and current biological age tests often rely on DNA-based markers that may miss early organ-level decline. Detecting subtle, age-related... Read moreMRI
view channel
Novel Imaging Approach to Improve Treatment for Spinal Cord Injuries
Vascular dysfunction in the spinal cord contributes to multiple neurological conditions, including traumatic injuries and degenerative cervical myelopathy, where reduced blood flow can lead to progressive... Read more
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 moreNuclear Medicine
view channel
PET Imaging of Inflammation Predicts Recovery and Guides Therapy After Heart Attack
Acute myocardial infarction can trigger lasting heart damage, yet clinicians still lack reliable tools to identify which patients will regain function and which may develop heart failure.... Read more
Radiotheranostic Approach Detects, Kills and Reprograms Aggressive Cancers
Aggressive cancers such as osteosarcoma and glioblastoma often resist standard therapies, thrive in hostile tumor environments, and recur despite surgery, radiation, or chemotherapy. These tumors also... Read more
New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read moreGeneral/Advanced Imaging
view channel
AI-Based Tool Accelerates Detection of Kidney Cancer
Diagnosing kidney cancer depends on computed tomography scans, often using contrast agents to reveal abnormalities in kidney structure. Tumors are not always searched for deliberately, as many scans are... Read more
New Algorithm Dramatically Speeds Up Stroke Detection Scans
When patients arrive at emergency rooms with stroke symptoms, clinicians must rapidly determine whether the cause is a blood clot or a brain bleed, as treatment decisions depend on this distinction.... 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 morePatient-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







