CT Scanner Receives Design Award
|
By HospiMedica staff writers Posted on 08 Jan 2003 |
A small spiral computed tomography (CT) system has received the 2002 Design Award of the Federal Republic of Germany, for its successful synthesis of design and function. The award is made every two years by the German Design Council on behalf of the Ministry for Economics and Technology.
The award winner, called Somatom Smile, is designed to meet the needs of private radiology practices and small clinics in countries such as China, the nations of Southeast Asia, and Brazil. The system combines modern CT technology with patient and user-friendly operation. An interactive user-training program on CD ROM is supplied with the system. The CD uses the language of the respective country (Chinese, Portuguese, Spanish, English) to clearly describe all functions.
The system's maintenance program is based on an easy self-service system. In the event of technical problems, the system uses an intelligent self-test to identify and specify defective parts. The color and number code of the module as well as additional ordering information are shown on the screen so the user can order the replacement module directly from the manufacturer. The CD also illustrates how to replace components when they arrive.
The system was developed as an international project and is being manufactured by Siemens Shanghai Medical Equipment (SSME) in China, part of Siemens Medical Solutions (Erlangen, Germany). Syngo, the user interface of all Siemens medical systems, helps to simplify operation of the system.
Related Links:
Siemens Medical
The award winner, called Somatom Smile, is designed to meet the needs of private radiology practices and small clinics in countries such as China, the nations of Southeast Asia, and Brazil. The system combines modern CT technology with patient and user-friendly operation. An interactive user-training program on CD ROM is supplied with the system. The CD uses the language of the respective country (Chinese, Portuguese, Spanish, English) to clearly describe all functions.
The system's maintenance program is based on an easy self-service system. In the event of technical problems, the system uses an intelligent self-test to identify and specify defective parts. The color and number code of the module as well as additional ordering information are shown on the screen so the user can order the replacement module directly from the manufacturer. The CD also illustrates how to replace components when they arrive.
The system was developed as an international project and is being manufactured by Siemens Shanghai Medical Equipment (SSME) in China, part of Siemens Medical Solutions (Erlangen, Germany). Syngo, the user interface of all Siemens medical systems, helps to simplify operation of the system.
Related Links:
Siemens Medical
Latest Business News
- Johnson & Johnson Launches AI-Driven Cardiac Mapping System
- Proximie Advances AI-Driven Intelligent Operating Rooms with NVIDIA Collaboration
- GE HealthCare, DeepHealth Expand AI Breast Imaging Collaboration
- Sinocare Presents AI-Driven Integrated Digital Health Solutions at CMEF
- GE HealthCare and Medtronic Expand Alliance with Intraoperative Imaging Integration
- New Partnership Advances Physical AI into Perioperative Workflows
- External Liver Assist System Receives FDA RMAT Designation
- New Partnership Expands Access to Predictive Tool for Patient Monitoring
- GE HealthCare Leads Major European Initiative to Advance Cardio-Oncology Care
- Medtronic and GE HealthCare Broaden Alliance Across Monitoring and Care Solutions
- Quantum Surgical Acquires NeuWave from Johnson & Johnson
- Medtronic to Acquire Coronary Artery Medtech Company CathWorks
- Medtronic and Mindray Expand Strategic Partnership to Ambulatory Surgery Centers in the U.S.
- FDA Clearance Expands Robotic Options for Minimally Invasive Heart Surgery
- WHX in Dubai (formerly Arab Health) to debut specialised Biotech & Life Sciences Zone as sector growth accelerates globally
- WHX in Dubai (formerly Arab Health) to bring together key UAE government entities during the groundbreaking 2026 edition
Channels
Artificial Intelligence
view channel
AI Model Uses Eye Imaging to Identify Risk of Major Systemic Diseases
Early detection of systemic disease risk remains a persistent challenge in population health screening. Cardiometabolic conditions such as diabetes, heart disease, and stroke often progress without symptoms... Read more
AI Platform Interprets Real-Time Wearable Data for Parkinson’s Management
Parkinson’s disease presents fluctuating motor and non-motor symptoms that complicate day-to-day self-management and clinical decision-making. Care teams require timely, longitudinal insight into medication... Read moreCritical Care
view channel
Magnetic Control System Enables Precise Navigation of Miniature Medical Devices
Oncology procedures require precise navigation and targeted delivery inside the body, yet current tools provide limited control in complex anatomy. Invasive surgery and systemic chemotherapy can injure... Read more
Noninvasive Skull Sensor Detects Early Deterioration in Acute Brain Injury
Critically ill patients with traumatic brain injury or stroke can suffer secondary brain damage even when standard intracranial pressure and blood pressure targets appear adequate. Such injury arises from... Read more
Bacteria-Resistant Urinary Catheter Coating Reduces Infections and Antibiotic Use
Catheter-associated urinary tract infections (CAUTIs) are a major hospital-acquired infection, responsible for about 75% of urinary tract infections acquired in hospitals. They increase morbidity and drive... Read moreSurgical Techniques
view channel
New AI Tool Predicts Complications Before Lung Cancer Surgery
Lung cancer remains a leading cause of cancer mortality, and many surgical candidates present with complex comorbidities. Postoperative complications are common, making accurate and individualized risk... Read more
First Automated Insulin Delivery System Cleared for Type 1 Diabetes in Pregnancy
Managing glycemia during pregnancy complicated by type 1 diabetes requires tight targets and sustained time in a pregnancy-specific glucose range. Clinicians and patients often rely on automated insulin... Read morePatient Care
view channel
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read more
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read moreHealth IT
view channel
AI System Detects and Quantifies Chronic Subdural Hematoma
Viz.ai (San Francisco, CA, USA) announced a strategic commercialization collaboration with Johnson & Johnson (New Brunswick, NJ, USA) to expand access in the United States to the Viz Subdural solution... Read more
Continuous Monitoring Platform Detects Infection Risk Across Care Transitions
Patients leaving skilled nursing facilities often lose continuous physiologic monitoring, increasing the risk of undetected infection and delayed intervention. Nursing home residents are seven times more... Read more







