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.
Latest Industry News News
- Bayer and Google Partner on New AI Product for Radiologists
- Samsung and Bracco Enter Into New Diagnostic Ultrasound Technology Agreement
- IBA Acquires Radcal to Expand Medical Imaging Quality Assurance Offering
- International Societies Suggest Key Considerations for AI Radiology Tools
- Samsung's X-Ray Devices to Be Powered by Lunit AI Solutions for Advanced Chest Screening
- Canon Medical and Olympus Collaborate on Endoscopic Ultrasound Systems
- GE HealthCare Acquires AI Imaging Analysis Company MIM Software
- First Ever International Criteria Lays Foundation for Improved Diagnostic Imaging of Brain Tumors
- RSNA Unveils 10 Most Cited Radiology Studies of 2023
- RSNA 2023 Technical Exhibits to Offer Innovations in AI, 3D Printing and More
- AI Medical Imaging Products to Increase Five-Fold by 2035, Finds Study
- RSNA 2023 Technical Exhibits to Highlight Latest Medical Imaging Innovations
- AI-Powered Technologies to Aid Interpretation of X-Ray and MRI Images for Improved Disease Diagnosis
- Hologic and Bayer Partner to Improve Mammography Imaging
- Global Fixed and Mobile C-Arms Market Driven by Increasing Surgical Procedures
- Global Contrast Enhanced Ultrasound Market Driven by Demand for Early Detection of Chronic Diseases