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US MQSA-Qualified Breast Radiologist — Software Evaluation Project (BLE00376)

North America . Remote

1 open role

Project summary

We are seeking U.S.-based, ABR-certified, MQSA-qualified Radiologists with broad clinical ultrasound experience to participate in a remote evaluation of an innovative quantitative ultrasound software interface.

Participants will review B-mode ultrasound images of the breast, thyroid, and gastrocnemius muscle, identify representative tissue types or lesions, place regions of interest (ROIs), and compare these with software-generated outputs to assess consistency with expected tissue characteristics.

Your expertise will help validate a quantitative mapping approach, improve the software interface, and support the development of future AI-enabled clinical imaging solutions.

Project details

Eligibility: U.S.-based, ABR-certified, MQSA-qualified Radiologist with 3+ years of post-training clinical ultrasound interpretation experience.

Estimated Commitment: Approximately 7–9 hours across two phases.

Timeline:

Onboarding: Around August 17
Image Labeling: August 24
Software Evaluation: August 31
Project completion: By September 4

Mode: Fully remote through a secure remote desktop. Training includes a tutorial video, instruction manual, a live session, and 3–5 test cases.

Workflow:

Phase 1: Review approximately 120 B-mode ultrasound images, identify tissue types or lesions, and place ROIs.
Phase 2: Compare clinician-selected locations with software outputs, assess agreement using the provided reference materials, complete handwritten evaluation forms, and return the physical forms.

Responsibilities

Review study materials and complete required training.
Participate in the live training session and complete test cases.
Review and label ultrasound images by placing ROIs.
Compare clinician-selected locations with software-generated outputs.
Complete handwritten evaluation forms and return them using the provided shipping materials.
Maintain confidentiality throughout the study.

Requirements

American Board of Radiology (ABR)–Certified.
Current MQSA qualification with at least 1 year meeting MQSA mammography interpretation requirements.
Meet ACR breast ultrasound interpretation requirements for at least 1 year.
Minimum 3 years of post-training clinical ultrasound interpretation experience.
Experience interpreting breast, thyroid, and gastrocnemius muscle ultrasound.
Willing to complete and return handwritten evaluation forms.
Previous experience as a truthing expert, clinical reviewer, or usability tester is preferred.

Help advance the future of quantitative ultrasound technology by contributing your clinical expertise to an innovative evaluation study. Apply today and be part of the next generation of AI-enabled imaging solutions.

Interested in this role? Use Apply now above or email recruiting@medcase.health with questions. Our team will follow up with more information.

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Designed for Practising Clinicians

Medcase engagements are built to complement active clinical practice—not replace it.

Project-based participation aligned with your specialty
Compensation for professional medical expertise
Flexible involvement without long-term commitments
Secure, compliant environments (HIPAA, GDPR)

Held to Clinical Standards

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Credential verification and specialty matching
Structured review and calibration processes
Ongoing quality oversight by medical and project leads
Clear clinical and ethical guidelines

How Clinicians Contribute

Clinicians participate where medical judgment matters most in AI development.

Reviewing and validating medical data and model outputs
Providing expert clinical interpretation across modalities (text, imaging, video, waveform, audio)
Supporting clinician-led data annotation and enrichment
Advising on clinical accuracy, relevance, and edge cases
Contributing specialty-specific insight across regulated use cases

Professional Contribution, Fairly Compensated

Clinicians are compensated for their time and professional expertise.

Compensation details are shared transparently during the application and onboarding process
Participation is designed to fit alongside active clinical roles

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