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NeuroImager

NeuroImager

€3,600.00Price
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NeuroImager: AI Clinical Decision Support Software for Medical Imaging


Executive Overview

NeuroImager is an enterprise Clinical Decision Support System (CDSS, a system that assists physicians in decisions) from AI-Systems. It uses computer vision and natural language processing to detect pathologies and other anomalies on digital medical images, and alerts the doctor when preset critical values are exceeded. It integrates into existing hospital IT without changing standard diagnostic workflows. Results are shown as an annotated DICOM series (DICOM, the standard format of medical images) with a draft structured report for the radiologist to verify and sign. It supports clinicians and does not replace their judgment.


Neural & Technological Stack

  • Computer vision (CV) models that parse 3D DICOM series slice by slice: localization of pathology and calculation of the percentage of affected tissue

  • Classification of pathological changes in accordance with medical standards, such as lung involvement severity (CT 0–4) and mammography BI-RADS

  • Synchronization of processed results with the original images for clearer analysis by specialists

  • Intelligent worklist triage: studies with critical findings move to the top of the radiologist's queue

  • Voice-to-text (NLP) dictation for medical terminology, auto-completing DICOM SR protocols

  • Processing time: a full 3D series in under 3 minutes

  • Input: multi-frame DICOM 3.0 (CT, LDCT, MRI, MG, DX, CR, RG, FLG)

  • Output: annotated DICOM series, DICOM SR, Secondary Capture, PDF export, REST/JSON

  • Integration: PACS, VNA, RIS, HIS/EMR and regional radiology and health information services via DICOM and REST API


Clinical Coverage

  • Pulmonology (CT, low-dose CT, X-ray, fluorography): viral pneumonia, tuberculosis, lung consolidation, emphysema

  • Cardiology (CT, angiography): coronary calcification, aortic aneurysm, paracardial fat volume

  • Oncology (CT, mammography, MRI): lung nodules, breast screening, adrenal, liver, brain and prostate findings

  • Neurology (brain and spine MRI): demyelinating plaque tracking, spine and disc analysis

  • Emergency and trauma (X-ray, CT): stroke localization, fracture detection

  • Reported model metrics (developer data): sensitivity 0.9945, specificity 0.9945, area under the ROC curve (AUC) 0.96

  • Expected outcomes for healthcare organizations: fewer diagnostic oversights and faster diagnosis


Target Industry Verticals

Hospitals, general medical and surgical hospitals, diagnostic imaging centers.


Deep-Dive ReferenceExplore the full architectural whitepaper and engineering case studies in My Projects: https://www.loranjacobs.com/my-projects/smart-clinic-cdss-neuroimager


Deployment & Licensing Matrix

  • Product tiers: Enterprise, Enterprise Ultra, Enterprise Ultima, Infrastructure (critical information infrastructure)

  • Platform: Smart Clinic

  • Delivery model: standalone AI software product

  • Licence: enterprise software licence, out-licensing with milestone-based payments

  • Your input: DICOM studies via PACS and integration with your hospital information system

  • Our scope: deployment, integration, model support

  • Installation: on-premises air-gapped GPU servers (NVIDIA) or a hybrid edge gateway

  • Maturity: TRL 9 (proven in operation)

  • Price: see the selected tier, excluding sales tax

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