Intel White Paper on AI-Based Diagnostic Imaging with Hitachi and Intel® DevCloud
Summary
Accelerate advanced diagnostics with Intel DevCloud for the Edge, a cloud-hosted sandbox designed for medical developers. This platform allows healthcare organizations to quickly prototype and test deep learning algorithms vital for analyzing complex modalities like CT, MRI, and X-ray scans directly at the point of care. Ideal for clinicians and enterprise partners, it supports the seamless integration of AI intelligence into existing edge infrastructure, ensuring faster time-to-market for next-generation diagnostic systems and improving patient care delivery through reliable, scalable computing solutions.
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Solution brief Intel® Dev Cloud for the Edge
Hitachi Speeds AI-Based Diagnostic Imaging with Intel® Dev Cloud for the Edge
Developing targeted algorithms for advanced modality systems enhances healthcare at the edge
“Because developers can quickly The healthcare sector is experiencing significant changes—from aging demographics and a prevalence of lifestyle diseases to regional disparities in care provision and
evaluate the performance of
the rising cost of public healthcare. At the same time, continual growth in the already
their applications in multiple
vast amount of healthcare data requires advanced compute performance and edge computing systems by capabilities and more efficient processing, not just in the cloud and data center, but increasingly at the edge.
using Intel® Dev Cloud for the Edge, they can not only shorten Vision is at the core of much healthcare data the inspection time to go to
Healthcare use cases and services at the edge—combined with new digital care market, they can also expect models supported by smart devices, cameras, network video recorders (NVRs), and sensors—are generating more and more unstructured visual data. Diagnostic
tremendous benefits in terms
and medical imaging also rely on visual compute technologies and AI inference
of investment and maintenance
for analysis. Increased use of analytics in healthcare networks requires more in verification equipment. advanced, flexible ways of assessing and managing visual data to ensure clinicians and organizations are extracting maximum and timely value.
“We are confident that Intel
Meeting new infrastructure demands
Dev Cloud for the Edge will
The need for broad collaboration between physicians, specialists, and pharma to
accelerate and streamline
help ensure a holistic view of patient care places new demands on existing edge
operations and create new value
computing infrastructure. Tightly coupled OS, firmware, and hardware can make for our customers.” adding or changing functions difficult and costly. Diagnostic imaging systems, such as MRI and CT scans, have advanced significantly,
—Tomohiro Nagao, Senior Manager,
Solution Business Division, featuring scanning technology with greater accuracy and sophisticated capabilities
Diagnostic Systems Division, for data analysis and interface optimization.
Hitachi, Ltd., Healthcare Business Unit
Bringing advanced analysis to modality systems Hitachi is augmenting and enhancing image analysis and diagnostic features leveraging AI and deep learning algorithms for modality systems, including CT scan, MRI, X-ray, and ultrasound. Hitachi initially considered using GPU-based systems for the AI enhancements, but a product feasibility study found a negative impact on cost and power/heat dissipation. Hitachi sought to accelerate development time by leveraging AI and targeting smoother integration and fusion of AI and non-AI algorithms by Intel® Distribution of Open VINO™ toolkit.
Page Summary Contents For Intel White Paper on AI-Based Diagnostic Imaging with Hitachi and Intel® DevCloud
Manual Details
| Brand | Hitachi |
|---|---|
| Pages | 2 |
| File Size | 304.77 KB |
| Published | June 05, 2026 |
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Frequently Asked Questions
What is the learning curve for using DevCloud and the OpenVINO toolkit?
The learning curve for Intel DevCloud for the Edge and the Intel Distribution of the OpenVINO toolkit is minimal.
How can Intel DevCloud assist in integrating AI diagnostics into medical imaging systems?
It provides a flexible software development environment supporting multiple edge devices, applications, and services on a single common platform.
What processor families are utilized for necessary scalability and performance improvements?
High-performance options include the Intel Xeon Scalable processor family and the Intel Core processor family.
How did using DevCloud enable Hitachi to refine their solutions faster?
The company was able to accelerate prototyping and testing, which allowed them to innovate and speed time to market for their deep learning inference solutions.