New AI-Based Solutions Create Possibility for Early Cancer Screening
|
By HospiMedica International staff writers Posted on 25 Dec 2018 |

Image: YITU Healthcare Vice President Cathy Fang gives a speech at the annual meeting of Radiological Society of North America (Photo courtesy of RSNA).
Two new Artificial Intelligence- (AI) based products released at this year’s Radiological Society of North America (RSNA) annual meeting in Chicago, USA, could create possibility for large-scale early cancer screening globally.
YITU Technology (Shanghai, China), which offers a range of AI-based medical solutions and products, launched two new products, Intelligent Diagnostic and Treatment Platform for Cancer Screening and CARE.AI Intelligent 4D Imaging System for Chest CT.
Intelligent Diagnostic and Treatment Platform for Cancer Screening is a platform that relies on YITU Healthcare's disease-centered massive multi-modal medical data to provide doctors with imaging detection, lesion analysis, clinical decision-making assistance, patient management and other services. For a long time now, it has been difficult to widely promote large-scale early screening of diseases, especially cancer screening, due to limited high-quality medical resources. The emergence of high-level medical AI has now made it possible for AI systems to assist doctors in providing medical services to a certain extent and offers the possibility for large-scale early screening of tumors.
The CARE.AI Intelligent 4D Imaging System for Chest CT is the first AI system in the world to enable detection of pulmonary nodules and allow for real-time imaging of a wide variety of other lesions. It is the world's first product that can perform imaging-based diagnosis for all types of lesions such as patchy shadow, stripe shadow and cystic shadow, and provide information sign analysis and diagnosis for accurate prediction and evaluation. The system realizes the full-dimensional detection of lesions for chest CT imaging, improves the functions of medical AI and promotes its application in clinical practice. Together with other cancer screening solutions, it can greatly reduce the workload of radiologists, become a clinical assistant to radiologists, and provide the possibility for large-scale early cancer screening worldwide.
"Medical AI products with advanced and reliable performance, which meet clinical needs and can be quickly replicated, are great creations in human history, and China is making rapid progress in this field," said Dr. Cathy Fang, Vice President of YITU Healthcare. "YITU's series of AI products have been widely applied in more than 200 Grade-A tertiary hospitals throughout China and cover the regional medical centers at the municipal and county levels in numerous provinces and cities. We look forward to bringing advanced AI products to all parts of the world and working towards promoting the improvement of human health care level."
Related Links:
YITU Technology
YITU Technology (Shanghai, China), which offers a range of AI-based medical solutions and products, launched two new products, Intelligent Diagnostic and Treatment Platform for Cancer Screening and CARE.AI Intelligent 4D Imaging System for Chest CT.
Intelligent Diagnostic and Treatment Platform for Cancer Screening is a platform that relies on YITU Healthcare's disease-centered massive multi-modal medical data to provide doctors with imaging detection, lesion analysis, clinical decision-making assistance, patient management and other services. For a long time now, it has been difficult to widely promote large-scale early screening of diseases, especially cancer screening, due to limited high-quality medical resources. The emergence of high-level medical AI has now made it possible for AI systems to assist doctors in providing medical services to a certain extent and offers the possibility for large-scale early screening of tumors.
The CARE.AI Intelligent 4D Imaging System for Chest CT is the first AI system in the world to enable detection of pulmonary nodules and allow for real-time imaging of a wide variety of other lesions. It is the world's first product that can perform imaging-based diagnosis for all types of lesions such as patchy shadow, stripe shadow and cystic shadow, and provide information sign analysis and diagnosis for accurate prediction and evaluation. The system realizes the full-dimensional detection of lesions for chest CT imaging, improves the functions of medical AI and promotes its application in clinical practice. Together with other cancer screening solutions, it can greatly reduce the workload of radiologists, become a clinical assistant to radiologists, and provide the possibility for large-scale early cancer screening worldwide.
"Medical AI products with advanced and reliable performance, which meet clinical needs and can be quickly replicated, are great creations in human history, and China is making rapid progress in this field," said Dr. Cathy Fang, Vice President of YITU Healthcare. "YITU's series of AI products have been widely applied in more than 200 Grade-A tertiary hospitals throughout China and cover the regional medical centers at the municipal and county levels in numerous provinces and cities. We look forward to bringing advanced AI products to all parts of the world and working towards promoting the improvement of human health care level."
Related Links:
YITU Technology
Latest AI News
- AI Analysis of Pericardial Fat Refines Long-Term Heart Disease Risk
- Machine Learning Approach Enhances Liver Cancer Risk Stratification
- New AI Approach Monitors Brain Health Using Passive Wearable Data
- AI Tool Maps Early Risk Patterns in Bloodstream Infections
- AI Model Identifies Rare Endocrine Disorder from Hand Images
- AI Tool Promises to Reduce Length of Hospital Stays and Free Up Beds
Channels
Artificial Intelligence
view channelAI Analysis of Pericardial Fat Refines Long-Term Heart Disease Risk
Accurately identifying long-term cardiovascular disease risk in asymptomatic adults remains challenging for clinicians. Missed or underestimated risk delays preventive therapy and increases the chance... Read more
Machine Learning Approach Enhances Liver Cancer Risk Stratification
Hepatocellular carcinoma, the most common form of primary liver cancer, is often detected late despite targeted surveillance programs. Current screening guidelines emphasize patients with known cirrhosis,... Read moreCritical Care
view channel
Noninvasive Monitoring Device Enables Earlier Intervention in Heart Failure
Hospitalizations for heart failure with preserved ejection fraction (HFpEF) remain common because lung congestion often worsens before symptoms prompt treatment changes. Missed early decompensation... Read more
Automated IV Labeling Solution Improves Infusion Safety and Efficiency
Medication administration in high-acuity settings is often complicated by multiple concurrent infusions, making accurate line identification essential. In a 10-hospital intensive care unit study, 60% of... Read moreSurgical Techniques
view channel
Ultrasound Technology Aims to Replace Invasive BPH Procedures
Benign prostatic hyperplasia (BPH) is a frequent cause of lower urinary tract symptoms in aging men and often requires invasive procedures or prolonged recovery. With prevalence expected to rise as populations... Read more
Continuous Monitoring with Wearables Enhances Postoperative Patient Safety
Postoperative hypoxemia on general surgical wards is common and often missed by intermittent vital sign checks. Undetected low oxygen levels can delay recovery and raise the risk of complications that... 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
EMR-Based Tool Predicts Graft Failure After Kidney Transplant
Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read moreBusiness
view channel







