AI Drives an All-in-One Medical Image Diagnosis System
|
By HospiMedica 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
Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
New
Knee Arthroscopy Holder
Reison 10-353 XL
New
Ultrasonic Dissector
SONICBEAT
Latest AI News
Channels
Critical Care
view channel
Cuff-Free Blood Pressure Monitoring Device to Improve Early Detection and Management of Hypertension
Hypertension affects nearly half of all adults in the U.S. and remains the leading cause of cardiovascular disease. Regular and accurate blood pressure monitoring is essential for managing this condition,... Read more
New Understanding of Barrett’s Esophagus Formation to Enable Earlier Intervention and Diagnosis
Barrett’s esophagus is a condition in which the lining of the esophagus—normally composed of squamous epithelial cells—undergoes a transformation into cells resembling those found in the stomach or intestine.... Read more
Surgical Techniques
view channel
Neuroform Atlas Stent-Assisted Coiling Found Effective Even in Smaller Arteries
Aneurysms, especially when located in the brain, can be life-threatening if not treated effectively. Intracranial aneurysms, caused by the dilation of blood vessels due to weaknesses in the vessel wall,... Read more
New Surgical Technique Safely Removes Giant Nerve Tumors
Giant plexiform neurofibromas (PNF) are benign tumors commonly associated with neurofibromatosis Type 1 (NF1), a genetic disorder affecting approximately 1 in 3,000 live births. These tumors, which occur... Read more
Patient Care
view channel
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 more
VR Training Tool Combats Contamination of Portable Medical Equipment
Healthcare-associated infections (HAIs) impact one in every 31 patients, cause nearly 100,000 deaths each year, and cost USD 28.4 billion in direct medical expenses. Notably, up to 75% of these infections... Read more
Portable Biosensor Platform to Reduce Hospital-Acquired Infections
Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more
First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds
Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read moreHealth IT
view channel
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 more
Smartwatches Could Detect Congestive Heart Failure
Diagnosing congestive heart failure (CHF) typically requires expensive and time-consuming imaging techniques like echocardiography, also known as cardiac ultrasound. Previously, detecting CHF by analyzing... Read more
Business
view channel
Bayer and Broad Institute Extend Research Collaboration to Develop New Cardiovascular Therapies
A research collaboration will focus on the joint discovery of novel therapeutic approaches based on findings in human genomics research related to cardiovascular diseases. Bayer (Berlin, Germany) and... Read more
