Why teams choose Lid Vizion

Healthcare organizations leverage computer vision to automate the processing of large volumes of medical images, reducing manual review time and improving diagnostic efficiency. This includes tasks like anomaly detection in X-rays, segmentation in MRI scans, and analysis of pathology slides, leading to faster and more accurate diagnoses.

AI-powered solutions are crucial for managing diverse medical imaging formats (e.g., DICOM), ensuring data privacy through anonymization, and complying with stringent regulations like HIPAA and GDPR. This enables secure and scalable deployment of AI in clinical settings.

The ability to integrate AI inference into existing PACS and EMR systems, coupled with robust reporting capabilities, is transforming radiology, pathology, and other diagnostic fields, ultimately improving patient outcomes and operational efficiency.

What you can deliver fast

Automated medical image processing

Batch process large datasets of medical images (e.g., X-rays, MRIs, CT scans) for consistent and efficient analysis.

DICOM ingest and handling

Seamlessly ingest and process DICOM files, ensuring proper parsing, anonymization, and compatibility with medical imaging standards.

Anonymization and de-identification

Automatically remove or mask protected health information (PHI) from medical images and reports to ensure HIPAA and GDPR compliance.

AI inference for diagnostics

Apply pre-trained or custom AI models to detect anomalies, segment structures, or classify conditions within medical images.

Structured reporting and analytics

Generate standardized reports from AI findings, integrate with LIS/RIS, and provide analytics for disease prevalence or treatment efficacy.

Human-in-the-loop validation

Integrate clinician review and annotation workflows for AI model validation, refinement, and handling of ambiguous cases.

Works with tools your team already uses

PACS and VNA integration

Connect directly with Picture Archiving and Communication Systems (PACS) and Vendor Neutral Archives (VNA) for seamless image retrieval and storage.

EMR/EHR systems

Integrate AI-derived insights and reports into Electronic Medical Record (EMR) and Electronic Health Record (EHR) systems for comprehensive patient data.

Medical imaging workstations

Complement existing diagnostic workstations by providing AI-powered pre-analysis or second opinions, streamlining radiologist and pathologist workflows.

Compliance and security platforms

Leverage built-in features for audit logging, access control, and data encryption to maintain regulatory compliance (HIPAA, GDPR) and data security.

Example workflows across the diagnostic lifecycle

Image Ingestion

Receive medical images from scanners, PACS, or VNAs
Convert diverse formats to a standardized internal representation

Data Preparation

Anonymize patient identifiers (PHI) from DICOM headers and image overlays
Pre-process images (e.g., normalization, enhancement) for AI readiness

AI Inference

Apply trained models for anomaly detection (e.g., tumor, fracture)
Perform segmentation of organs or lesions
Classify disease states or image types

Clinical Review & Validation

Present AI findings to clinicians for review and confirmation
Capture human annotations to refine AI models

Reporting & Archival

Generate structured reports with AI insights
Push results to EMR/EHR systems
Archive processed images and reports with audit trails

Get started with Lid Vizion

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Ask about solution design, live demo, pricing, and feasibility.