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US MQSA-Qualified Breast Radiologist — Software Usability Testing Project (BLE00350)
Project summary
We are seeking experienced, US-based, MQSA-qualified Breast Radiologists to participate in a remote usability evaluation of an innovative AI-assisted breast ultrasound software platform designed to support breast lesion detection, interpretation, and diagnostic workflow optimization.
This study offers a unique opportunity to contribute directly to the development of technology intended to enhance breast imaging workflows and improve the clinician experience. Participants will engage in structured usability activities, share expert feedback during moderated sessions, and provide insights regarding workflow, functionality, and clinical relevance.
Feedback gathered from breast imaging specialists will play an important role in product refinement, user interface optimization, and future development efforts aimed at supporting more efficient and effective breast imaging practices.
Project details
- Session Duration: Approximately 60 minutes, scheduled at the participant's convenience
- Timeline: Testing expected to run through the end of June
- Format: Remote, moderated usability testing conducted through secure Remote Desktop access, with observation via Google Meet (or similar platform) and post-session feedback collected through an online survey
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Study Activities:
- Complete electronic consent and receive study instructions
- Participate in guided usability testing within the Vis-BUS platform
- Review representative breast ultrasound cases and workflows
- Evaluate lesion visualization, measurements, AI-generated outputs, and reporting features
- Share real-time feedback regarding workflow, navigation, functionality, and clinical relevance
- Complete a post-session questionnaire covering usability, workflow efficiency, user experience, and recommendations for improvement
- Technical Requirements: Reliable internet connection, webcam, microphone, Remote Desktop access capability, and a private environment suitable for participation
Responsibilities
Participants are expected to:
- Attend the scheduled usability session
- Complete all assigned usability tasks
- Provide candid and constructive feedback
- Participate in moderated discussion and observation activities
- Complete the post-session questionnaire
- Maintain confidentiality regarding study materials and software functionality
Requirements
- American Board of Radiology (ABR)–Certified
- Minimum five (5) years of experience interpreting mammography
- Have met Mammography Quality Standards Act (MQSA) mammography interpretation requirements for at least one (1) year before the study and continue to meet these requirements
- Have met ACR breast ultrasound interpretation requirements for at least one (1) year before the study and continue to meet these requirements
- Currently practicing breast imaging radiologist with routine breast ultrasound interpretation responsibilities
Join a meaningful initiative shaping the future of AI-enabled breast imaging and help influence the development of tools designed to support radiologists and improve clinical workflows.
Interested in this role? Use Apply now above or email recruiting@medcase.health with questions. Our team will follow up with more information.
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
Not every contribution is equal in healthcare—and we treat it that way.
- 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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