Fujifilm and IU School of Medicine to Study AI in Diagnostic Imaging
|
By MedImaging International staff writers Posted on 12 Sep 2018 |
|
Image: Researchers are working to develop the application of AI in medical imaging diagnostics (Photo courtesy of Digital Health).
Fujifilm Corporation (Tokyo, Japan) has entered into a joint research agreement with Indiana University School of Medicine (Indianapolis, IN, USA) to develop the application of artificial intelligence (AI) in medical imaging diagnostic support systems.
Going forward, as clinical information is increasingly viewed in the context of big data, AI technology will be applied to develop products that meet the different and challenging needs of the healthcare industry. For instance, recent technological advancements in diagnostic imaging system capabilities, such as multi-slice CT, have created the need for an efficient solution to read and interpret the increased number of images being generated. The application of AI technology to support physicians by detecting suspicious lesions in images, comparing results with prior studies and the implementation of semi-automated reporting is expected to significantly increase the efficiency of diagnostic medical imaging in patient care.
Fujifilm is using AI technology to develop image diagnosis support systems, which will support the overall diagnostic workflow of physicians. In addition to undertaking various in-house development projects, Fujifilm is also entering into a partnership with leading AI technology vendors to expand the disease coverage of its systems. The Indiana University School of Medicine is affiliated with Indiana University Health (IU Health), a medical healthcare system with 17 hospitals and about 33,000 employees in the US.
The collaboration aims to combine Fujifilm’s image processing and AI technology with the Indiana University School of Medicine’s rich diagnostic and clinical expertise to develop medical AI technology, while searching for a system optimized to support diagnosis workflow. The research will initially utilize Fujifilm’s AI technology to segment and quantify muscle atrophy (sarcopenia) in body images, as well as detect and quantify brain lesions in neuroradiology imaging exams.
Going forward, as clinical information is increasingly viewed in the context of big data, AI technology will be applied to develop products that meet the different and challenging needs of the healthcare industry. For instance, recent technological advancements in diagnostic imaging system capabilities, such as multi-slice CT, have created the need for an efficient solution to read and interpret the increased number of images being generated. The application of AI technology to support physicians by detecting suspicious lesions in images, comparing results with prior studies and the implementation of semi-automated reporting is expected to significantly increase the efficiency of diagnostic medical imaging in patient care.
Fujifilm is using AI technology to develop image diagnosis support systems, which will support the overall diagnostic workflow of physicians. In addition to undertaking various in-house development projects, Fujifilm is also entering into a partnership with leading AI technology vendors to expand the disease coverage of its systems. The Indiana University School of Medicine is affiliated with Indiana University Health (IU Health), a medical healthcare system with 17 hospitals and about 33,000 employees in the US.
The collaboration aims to combine Fujifilm’s image processing and AI technology with the Indiana University School of Medicine’s rich diagnostic and clinical expertise to develop medical AI technology, while searching for a system optimized to support diagnosis workflow. The research will initially utilize Fujifilm’s AI technology to segment and quantify muscle atrophy (sarcopenia) in body images, as well as detect and quantify brain lesions in neuroradiology imaging exams.
Digital X-Ray Detector Panel
Acuity G4
Ultrasound Table
Women’s Ultrasound EA Table
Diagnostic Ultrasound System
DC-80A
Silver Member
X-Ray QA Device
Accu-Gold+ Touch Pro
Latest Imaging IT News
- New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
- Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
- AI-Based Mammography Triage Software Helps Dramatically Improve Interpretation Process
- Artificial Intelligence (AI) Program Accurately Predicts Lung Cancer Risk from CT Images
- Image Management Platform Streamlines Treatment Plans
- AI-Based Technology for Ultrasound Image Analysis Receives FDA Approval
- AI Technology for Detecting Breast Cancer Receives CE Mark Approval
- Digital Pathology Software Improves Workflow Efficiency
- Patient-Centric Portal Facilitates Direct Imaging Access
- New Workstation Supports Customer-Driven Imaging Workflow
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 more
MRI
view channel
AI Model Reads and Diagnoses Brain MRI in Seconds
Brain MRI scans are critical for diagnosing strokes, hemorrhages, and other neurological disorders, but interpreting them can take hours or even days due to growing demand and limited specialist availability.... Read more
MRI Scan Breakthrough to Help Avoid Risky Invasive Tests for Heart Patients
Heart failure patients often require right heart catheterization to assess how severely their heart is struggling to pump blood, a procedure that involves inserting a tube into the heart to measure blood... Read more
MRI Scans Reveal Signature Patterns of Brain Activity to Predict Recovery from TBI
Recovery after traumatic brain injury (TBI) varies widely, with some patients regaining full function while others are left with lasting disabilities. Prognosis is especially difficult to assess in patients... Read more
Ultrasound
view channel
Portable Ultrasound Sensor to Enable Earlier Breast Cancer Detection
Breast cancer screening relies heavily on annual mammograms, but aggressive tumors can develop between scans, accounting for up to 30 percent of cases. These interval cancers are often diagnosed later,... Read more
Portable Imaging Scanner to Diagnose Lymphatic Disease in Real Time
Lymphatic disorders affect hundreds of millions of people worldwide and are linked to conditions ranging from limb swelling and organ dysfunction to birth defects and cancer-related complications.... Read more
Imaging Technique Generates Simultaneous 3D Color Images of Soft-Tissue Structure and Vasculature
Medical imaging tools often force clinicians to choose between speed, structural detail, and functional insight. Ultrasound is fast and affordable but typically limited to two-dimensional anatomy, while... Read more
Nuclear Medicine
view channel
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read more
Cancer “Flashlight” Shows Who Can Benefit from Targeted Treatments
Targeted cancer therapies can be highly effective, but only when a patient’s tumor expresses the specific protein the treatment is designed to attack. Determining this usually requires biopsies or advanced... Read more
General/Advanced Imaging
view channel
AI Tool Offers Prognosis for Patients with Head and Neck Cancer
Oropharyngeal cancer is a form of head and neck cancer that can spread through lymph nodes, significantly affecting survival and treatment decisions. Current therapies often involve combinations of surgery,... Read more
New 3D Imaging System Addresses MRI, CT and Ultrasound Limitations
Medical imaging is central to diagnosing and managing injuries, cancer, infections, and chronic diseases, yet existing tools each come with trade-offs. Ultrasound, X-ray, CT, and MRI can be costly, time-consuming,... 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
