We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




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).
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.

Medical Radiographic X-Ray Machine
TR30N HF
Ultra-Flat DR Detector
meX+1717SCC
Digital X-Ray Detector Panel
Acuity G4
Pocket Fetal Doppler
CONTEC10C/CL

Channels

Ultrasound

view channel
Image: The new implantable device for chronic pain management is small and flexible (Photo courtesy of The Zhou Lab at USC)

Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery

Chronic pain affects millions of people globally, often leading to long-term disability and dependence on opioid medications, which carry significant risks of side effects and addiction.... Read more

Nuclear Medicine

view channel
Image: The diagnostic tool could improve diagnosis and treatment decisions for patients with chronic lung infections (Photo courtesy of SNMMI)

Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections

Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

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
Copyright © 2000-2025 Globetech Media. All rights reserved.