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AI in Radiology: DeepHealth's Diagnostic Suite™ and the Future of Medical Imaging

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AI in Radiology: DeepHealth's Diagnostic Suite™ and the Future of Medical Imaging

May 2025 | Source: News-Medical

Introduction

As radiology undergoes rapid advancement, artificial intelligence (AI) is prioritizing better diagnostic accuracy and improved operational efficiency. DeepHealth, a division of RadNet Inc., is at the forefront of providing AI-powered solutions that will change the way physicians are involved in medical imaging [1,2].

DeepHealth’s Diagnostic Suite™: Revolutionizing Radiology Workflows

The Diagnostic Suite™ is an all-in-one, cloud-native, AI-enabled console, designed to be embedded into an institution’s existing Radiology Information Systems (RIS) or Picture Archiving and Communication Systems (PACS) workflow. It provides a single use case to work from, which combines worklists, patient briefs, reporting, high-speed streaming viewers with advanced visualization tools, and orchestration of AI [1,2].

Key Features

Key Features:

  • Cloud-Native Architecture: Provides high trust and scalability for paradigms of all dimensions.
  • Unified workspace: Unites the multiple tools that facilitate efficient diagnostic workflows.
  • AI Orchestration: Enables advanced visualization and interpretation.
AI Impact on National Screening Programs

AI Impact on National Screening Programs

Program Type Country/Region AI Benefit Outcome
Breast Cancer Screening UK, US, EU Lesion localization, case prioritization +21% detection rate improvement
Lung Cancer Detection NHS England Early-stage nodule detection 76% diagnosed early (vs 29% prior)
Prostate Screening India, US (Trials) Biopsy planning, lesion annotation 97% diagnostic sensitivity
SmartMammoΓäó Enhancing Breast Cancer Screening

SmartMammo™: Enhancing Breast Cancer Screening

SmartMammo™ from DeepHealth is an artificial intelligence-based tool to maximize breast cancer screening and diagnosis. [1].  It supports 2D and 3D mammograms and integrates with radiologists’ worklists and reporting systems. It has detection capabilities that use AI to automatically locate the lesion and incorporate a level of suspicion, which enables a 21% increase in cancer detection rates [1,3].

Recent Developments:

  • FDA Clearance: SmartMammo Dx entered expanded FDA 510(k) clearance to support GE HealthCare’s Senographe Pristina™ mammography systems [3].
  • Improved Workflow Integration: The upgrades now include CE-marked 2D technology to assist in primary reads and act as the second reader in a mammography double reading workflow [4].
DeepHealth AI Use Cases Across Specialties

DeepHealth AI Use Cases Across Specialties

Clinical Area AI Tool Primary Use Case Clinical Value
Breast SmartMammo™ Lesion detection and prioritization Increases efficiency and detection rate
Brain SmartNeuro™ (dev) Lesion mapping, dementia tracking (future) Expect support for complex neurology reviews
Lung AI for CT scans Lung cancer screening, nodule detection Identifies cancer earlier and with greater accuracy
Prostate SmartProstate™ Biopsy planning, MR segmentation Improves workflow and sensitivity

Strategic Collaborations and Ecosystem Expansion

To accelerate and gauge its results, DeepHealth has homogenized collaborations with industry leaders [1,2]:

  • GE HealthCare: SmartMammo™ will integrate with GE’s Senographe Pristina mammography systems [1,3].
  • Siemens Healthineers: SmartSonography™ is a development project designed to enhance ultrasound diagnostics through AI-enabled informatics [2,5].
  • CARPL.ai and TeraRecon:  Development of AI structure and visualizations in the Diagnostic Suite™ [2].
Impact and Adoption of DeepHealthΓÇÖs AI Solutions

Impact and Adoption of DeepHealth’s AI Solutions

DeepHealth’s products are influencing clinical careers globally:

  • Clinical Adoption: DeepHealth’s RIS, PACS, and AI products are used in over 800 clinical sites and by over 3,000 radiologists to expedite clinical care.
  • Global Reach: DeepHealth has taken its product offering beyond our borders: we opened an office in Bengaluru, India, to meet increased demand for AI-based radiology solutions.
Conclusion

Conclusion: The Future of Radiology with AI

DeepHealth’s AI-based offerings, including the Diagnostic Suite™ and SmartMammo™, are spearheading the possibilities of what radiology can become. It is utilizing cutting-edge artificial intelligence capabilities in medical imaging to improve diagnostic accuracy, optimize workflows, and improve patient outcomes.

DeepHealth’s AI Solutions Overview

Solution Application Area Key Features Impact
SmartMammo™ Breast Imaging 2D/3D support, lesion detection, FDA cleared 21% increased cancer detection rate
Diagnostic Suite™ Radiology Centralized workspace, integrated AI, cloud-native Streamlined workflows, improved diagnostics
Lung Solution Pulmonology Nodule detection, AI-optimized reporting Early-stage cancer detection improvement
Prostate Solution Urology Automated segmentation, biopsy planning 97% diagnostic sensitivity
Brain Health AI Neurology AI-driven diagnostics Improved accuracy and efficiency
References

References

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