AI Drives an All-in-One Medical Image Diagnosis System
|
By MedImaging International staff writers Posted on 07 Jan 2019 |
|
Image: AI HUB, an AI medical all-in-one platform (Photo courtesy of JLK Inspection).
An innovative predictive medical image diagnosis platform has the ability to detect and monitor more than 30 medical conditions from 14 regions of the body with pinpoint accuracy.
The JLK Inspection (Seoul, Korea) AIHuB diagnostics platform is an on-site universal artificial intelligence (AI) system that allows physicians to diagnose disease from medical images in a faster, more accurate manner, all from the convenience of a single central core. AIHuB is focused on brain pathologies and diseases such as ischemic strokes, hemorrhagic strokes, brain aneurysms, and Alzheimer's disease, as well as lung cancer, prostate cancer, breast cancer, and coronary artery disease.
The AIHuB carries out digital pathology from diverse imaging modalities, including magnetic resonance imaging (MRI), computerized tomography (CT), X-ray, and breast mammography, providing an objective AI-based analysis in a simple format. Utilizing the user-friendly interface, the AIHuB platform can provide clinicians with high-quality medical management, efficient medical treatment, and transparent medical services that seamlessly connect with all other in-hospital systems, including neural network solvers and libraries.
“We are excited to show how we are able to assist users with quantitative analysis of their medical images at their own convenience,” said Won Tae Kim, CEO of JLK Inspection. “The ability to provide optimal diagnosis support based on deep learning technologies, unique algorithms and imaging procession techniques will be a great benefit to all patients, whether suffering from minor or major ailments.”
Most of medical information today is stored digitally, but image data, findings, lab values, digital patient records, and surgery reports are handled separately. Data integration into one unified framework can enable faster handling of medical information and lay the foundation for efficient interaction between different specialties, enabling more precise and personalized clinical decisions.
Related Links:
JLK Inspection
The JLK Inspection (Seoul, Korea) AIHuB diagnostics platform is an on-site universal artificial intelligence (AI) system that allows physicians to diagnose disease from medical images in a faster, more accurate manner, all from the convenience of a single central core. AIHuB is focused on brain pathologies and diseases such as ischemic strokes, hemorrhagic strokes, brain aneurysms, and Alzheimer's disease, as well as lung cancer, prostate cancer, breast cancer, and coronary artery disease.
The AIHuB carries out digital pathology from diverse imaging modalities, including magnetic resonance imaging (MRI), computerized tomography (CT), X-ray, and breast mammography, providing an objective AI-based analysis in a simple format. Utilizing the user-friendly interface, the AIHuB platform can provide clinicians with high-quality medical management, efficient medical treatment, and transparent medical services that seamlessly connect with all other in-hospital systems, including neural network solvers and libraries.
“We are excited to show how we are able to assist users with quantitative analysis of their medical images at their own convenience,” said Won Tae Kim, CEO of JLK Inspection. “The ability to provide optimal diagnosis support based on deep learning technologies, unique algorithms and imaging procession techniques will be a great benefit to all patients, whether suffering from minor or major ailments.”
Most of medical information today is stored digitally, but image data, findings, lab values, digital patient records, and surgery reports are handled separately. Data integration into one unified framework can enable faster handling of medical information and lay the foundation for efficient interaction between different specialties, enabling more precise and personalized clinical decisions.
Related Links:
JLK Inspection
Portable Color Doppler Ultrasound System
S5000
X-ray Diagnostic System
FDX Visionary-A
Multi-Use Ultrasound Table
Clinton
Ultrasound Imaging System
P12 Elite
Latest General/Advanced Imaging News
- AI-Powered Imaging System Improves Lung Cancer Diagnosis
- AI Model Significantly Enhances Low-Dose CT Capabilities
- Ultra-Low Dose CT Aids Pneumonia Diagnosis in Immunocompromised Patients
- AI Reduces CT Lung Cancer Screening Workload by Almost 80%
- Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
- AI System Detects Subtle Changes in Series of Medical Images Over Time
- New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
- World’s First Mobile Whole-Body CT Scanner to Provide Diagnostics at POC
- Comprehensive CT Scans Could Identify Atherosclerosis Among Lung Cancer Patients
- AI Improves Detection of Colorectal Cancer on Routine Abdominopelvic CT Scans
- Super-Resolution Technology Enhances Clinical Bone Imaging to Predict Osteoporotic Fracture Risk
- AI-Powered Abdomen Map Enables Early Cancer Detection
- Deep Learning Model Detects Lung Tumors on CT
- AI Predicts Cardiovascular Risk from CT Scans
- Deep Learning Based Algorithms Improve Tumor Detection in PET/CT Scans
- New Technology Provides Coronary Artery Calcification Scoring on Ungated Chest CT Scans
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 more
MRI
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 moreUltrasound
view channel.jpeg "Image: The AI-powered lung ultrasound tool outperformed human experts by 9% in diagnosing TB (Photo courtesy of Adobe Stock)")
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read more
Nuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
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
Imaging 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