Background for AI Diagnostics
    AI for Diagnostics

    AI Agents That Augment Diagnostic Precision

    Alice Labs builds AI agents that augment — never replace — diagnostic radiologists and pathologists. Our computer vision models pre-read imaging studies in seconds, flag critical findings, quantify measurements, and prioritize worklists — reducing diagnostic turnaround by 40-60% while maintaining full clinician oversight. Compliant with HIPAA, GDPR, and MDR.

    HIPAA & MDR Compliant
    Human-in-the-Loop
    30-90 Day Delivery
    Senior-Only Team

    Part of the team that delivers

    An experienced team with broad AI and tech backgrounds from leading companies

    Linus Ingemarsson, Co-founder & AI Consultant

    Linus

    Co-founder & AI Consultant

    Alice, CEO & Co-founder

    Alice

    CEO & Co-founder

    Jens, AI Consultant

    Jens

    AI Consultant

    Eric, Co-founder & AI Consultant

    Eric

    Co-founder & AI Consultant

    Lisa, Project Lead & Implementation

    Lisa

    Project Lead & Implementation

    Results From Our Clients

    Verified outcomes from completed AI implementations

    AI AgentFood & Grocery

    AI Agent for Order Management

    Ljusgårda (Supernormal Greens)

    $250K/year saved
    • 83% cost reduction
    • 70-80% automation
    • 6-week implementation
    AI AutomationPublic Sector

    Document Automation: 60h → 3min

    Public Sector

    6,400–8,000 h/year freed
    • 95% time reduction
    • 60h → 3min/doc
    • 1000+ hours/month saved
    AI SEOMedia & Publishing

    AI-Driven SEO Rewrite: +2,092% Clicks

    Media Company

    +2,092% clicks
    • 178 articles rewritten
    • +330% daily increase
    • 141 → 3,091 clicks

    Top AI Use Cases in Diagnostics

    Where AI agents deliver the highest impact in diagnostic medicine

    1. Radiology AI & Worklist Prioritization

    Radiologists face growing study volumes — 15-25% annual increases — with no proportional staffing growth. AI agents pre-read CT, MRI, and X-ray studies in seconds, flag critical findings (stroke, PE, fractures), and reprioritize worklists so urgent cases are read first. Turnaround time for critical findings drops from hours to minutes.

    Key Deliverables:

    Critical finding detection
    Automated measurements
    Worklist prioritization
    Structured report pre-population

    2. Digital Pathology & Biomarker Quantification

    Manual pathology review is subjective, time-consuming, and prone to inter-observer variability. AI agents analyze whole-slide images at cellular resolution — counting mitotic figures, quantifying biomarkers (Ki-67, PD-L1, HER2), detecting tumor margins, and grading specimens with consistent, reproducible accuracy.

    Key Deliverables:

    Whole-slide image analysis
    Biomarker quantification
    Tumor grading assistance
    Quality assurance flagging

    3. Oncology Imaging & Treatment Response

    Tracking tumor response across multiple imaging timepoints requires precise measurements and longitudinal comparison. AI agents automate RECIST measurements, quantify volumetric changes, correlate imaging with genomic data, and flag progression earlier — enabling faster treatment adjustments.

    Key Deliverables:

    Automated RECIST measurements
    Volumetric tumor tracking
    Treatment response quantification
    Longitudinal comparison reports

    Built for Diagnostic Precision

    HIPAA & MDR Compliant

    End-to-end encryption, PHI protection, and regulatory documentation for CE marking and FDA pathways.

    Multi-Modal AI Models

    Specialized computer vision architectures for CT, MRI, X-ray, mammography, ultrasound, and whole-slide imaging.

    Sub-Second Inference

    Real-time AI pre-reads delivered to the reading worklist before the radiologist opens the study.

    PACS Integration

    Native DICOM connectivity with Sectra, Agfa, Philips, and GE PACS platforms. No workflow disruption.

    Explainable Results

    Heatmaps, attention overlays, and confidence scores for every AI finding — clinicians see why the AI flagged an area.

    Continuous Learning

    Models improve with your institution's data through federated learning — without patient data ever leaving your environment.

    What Our Clients Say

    "We decided early on to embrace AI technology and needed a partner who could explore opportunities, propose solutions, lead change management, and build them. With Alice, we got everything in one place and have implemented multiple solutions that increased efficiency so significantly that an entire team could be reallocated."

    Andreas Wilhelmsson

    CEO & Co-founder

    Supernormal Greens / Ljusgårda

    "Alice Labs' AI training gave us all a real aha-moment, whether we were completely new to the field or experienced! The training contained a perfect balance between theory and practice. We have definitely become more efficient at work!"

    Åsa Nordin

    IT Manager

    Trollhättan Energi

    "The collaboration with Alice Labs has been easy, educational, and incredibly supportive. We engaged them to improve our processes and create more efficiency in the team, and the result truly exceeded expectations. Through their guidance, we've gained better structure, faster workflows, and more time for what actually creates results."

    Frida

    Partner Manager

    Bruce Studios

    "Fast, professional, and wonderful people. Find out for yourself <3"

    Johannes Hansen

    Founder

    Johannes Hansen AB

    Frequently Asked Questions

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