Skip to main content
    Current page: Ethics
    Ethics & compliance

    Committed to ethical AI in clinical care.

    Advancing clinical AI carries responsibility. This page describes how PathFree Technologies approaches fairness, transparency, and regulatory rigor for AiMediQ™ and datasyteAI™ — with honest labeling of what is current, in progress, and planned.

    Security & trust
    Foundations

    Thinking ethics of AI.

    Understanding the ethical implications of AI in healthcare is fundamental to how we build.

    Video courtesy of UNESCO.

    Bias mitigation

    Identify, measure, and reduce bias — as a discipline, not a claim.

    Fairness is treated as an engineering practice: representative data, continuous testing, tracked metrics, and alerts that route into review.

    Diverse training data

    Datasets are curated for representation across demographics, care settings, and geographies so model behavior is evaluated on the populations the system is meant to support.

    Continuous bias testing

    Statistical parity, disparate-impact, and intersectional bias checks run on every model update, with interpretability tools surfacing the features driving disparate outcomes.

    Fairness metrics

    Multiple fairness metrics — demographic parity, equalized odds, calibration — are tracked over time so equity is measured, not assumed.

    Bias detection alerts

    Threshold-based monitoring flags disparities in real time and routes them to the ethics review workflow for investigation and remediation.

    Governance

    Ethics of AI: challenges and governance.

    Governance frameworks shaping responsible AI development worldwide.

    Video courtesy of UNESCO.

    Independent auditing

    Independent algorithm review with NAMSA.

    We are engaging NAMSA to perform independent audits of the algorithm as part of a proactive bias and safety program.

    NAMSA — Medical Device Clinical Trial Management
    Partnership status & timeline
    PathFree Technologies is in discussions with NAMSA regarding algorithm auditing services. The formal partnership agreement and audit timeline are subject to finalization. Comprehensive audits are planned to commence upon agreement completion, and updates will be published as they become available.

    Pre-market

    Algorithm accuracy, bias assessment, and clinical validation are documented in formal reports before any deployment.

    Ongoing

    Post-deployment monitoring, periodic bias audits, and drift detection sustain performance across changing populations.

    Transparent

    Executive summaries of audit findings and remediation actions are intended for publication so partners can evaluate accountability.

    Regulatory compliance

    Building against recognized standards.

    AiMediQ™ is being developed against the standards that govern Software as a Medical Device, with quality, privacy, and international market access designed in from the start.

    FDA regulatory pathway

    AiMediQ™ is being developed against FDA guidance for Software as a Medical Device, with Design History File, formal V&V, and post-market surveillance planning maintained through the program.

    HIPAA-aligned handling

    Encryption in transit and at rest, role-based access, audit logging, and Business Associate Agreements are defined per deployment with the institution's privacy and security teams.

    ISO 13485 quality system

    The quality management system is designed against ISO 13485 — design controls, risk management (ISO 14971), CAPA, supplier management, and traceability — with third-party certification as a planned milestone.

    EU MDR preparation

    Technical Documentation is being prepared per EU MDR Annex II, including clinical evaluation, risk-benefit analysis, and post-market clinical follow-up planning.

    Regulatory roadmap

    AiMediQ™ approval timeline.

    A phase-by-phase view of the regulatory path. Dates are current projections and may shift with regulatory feedback and testing outcomes.

    1. In Progress
      Phase 1 · Q3 2026

      Pre-submission preparation

      Design history, risk management, and software documentation compiled to submission-ready standards.

      • Complete Design History File (DHF)
      • Finalize Risk Management File (ISO 14971)
      • Software documentation (IEC 62304)
      • Clinical Evaluation Plan
    2. Planned
      Phase 2 · Q4 2026

      FDA pre-submission meeting

      Formal Q-Submission to align on regulatory pathway, testing expectations, and submission strategy.

      • Submit Pre-Submission request
      • Prepare meeting briefing document
      • Conduct FDA pre-submission meeting
      • Incorporate FDA feedback
    3. Planned
      Phase 3 · Q1 2027

      Verification & validation

      Comprehensive software V&V including usability engineering and clinical validation.

      • Software verification testing
      • Usability studies (IEC 62366)
      • Clinical validation studies
      • Cybersecurity documentation
    4. Planned
      Phase 4 · Q2 2027

      FDA 510(k) submission

      510(k) premarket notification demonstrating substantial equivalence to predicate devices.

      • Compile submission package
      • Submit to FDA eCopy portal
      • Respond to FDA questions
      • Target 510(k) clearance
    5. Planned
      Phase 5 · Q2–Q3 2027

      EU MDR certification

      Notified Body conformity assessment and CE marking for EU market access.

      • EU MDR Technical Documentation
      • Engage Notified Body
      • Clinical evaluation (MEDDEV 2.7/1)
      • Obtain CE Mark
    6. Target
      Phase 6 · Q4 2027

      Market launch

      Commercial launch in US and EU with post-market surveillance in place.

      • US commercial launch
      • EU commercial launch
      • Post-market surveillance
      • International expansion planning
    Timeline disclaimer
    The regulatory timeline reflects current projections and may change based on regulatory feedback, testing outcomes, and other factors. Actual approval dates depend on FDA and Notified Body review processes.
    Clinical trial context

    De-risking a medical device clinical trial.

    Video courtesy of NAMSA.

    Clinical trial context

    When is a Data Safety and Monitoring Board required?

    Video courtesy of NAMSA.

    Ethics & compliance — FAQ

    Find answers to common questions about our technology and services

    Learn more

    Explore AiMediQ™ and how it's built.

    See the platform and the security posture that supports it.