Clinician Survey on Computer Vision in Medicine

What is Computer Vision?

Computer vision (CV) is an artificial intelligence technology that interprets and processes visual data, including images and video. In healthcare, it can support tasks such as analyzing medical images, monitoring patient activity, and evaluating procedural performance.

No prior knowledge of computer vision is required to participate in this survey.

Educational Overview

What Does Computer Vision Look Like in Healthcare?

About the Study

Understanding the Clinical Perspective

We are conducting a survey to understand how healthcare professionals view the use of computer vision in medicine. Your responses will help identify promising applications, practical challenges, and priorities for future development of AI-driven tools in healthcare.

By sharing your experience and perspective, you will contribute to a better understanding of how this technology may be used in clinical practice. This study is clinician-driven and will directly inform how CV technology is designed, evaluated, and deployed in healthcare settings worldwide.

Survey Topics

A Demographics
B CV Applications
C Technology Development
D Privacy & Ethics
E Framing & Acceptability
F Alarm Fatigue
G Infrastructure & Cost
H Clinician Involvement
I EHR Integration
J Training & Education
K Ranking Applications
L Future Directions

Eligibility

Who Should Participate?

This survey is open to physicians (all specialties, including residents and fellows), nurses (registered nurses, nurse practitioners, and clinical nurse specialists), and other healthcare professionals — such as respiratory therapists, physical/occupational therapists, pharmacists, etc. — across inpatient, outpatient settings, at all experience levels, from trainees to senior clinicians, worldwide.

Impact

Why Your Input Matters

"Clinical and academic stakeholders view CV as a potentially valuable tool to enhance patient care, clinician education, and documentation in diverse settings — but substantial ethical, legal, and operational concerns remain. Transparent communication and early engagement of end-users is essential for responsible integration."

This survey is part of a multi-phase research program at Mayo Clinic and Arizona State University building the evidence base for responsible CV adoption in healthcare. Findings will be published in peer-reviewed literature and shared with technology developers, hospital administrators, and policy bodies.

Research Team

About the Investigators

Mayo Clinic

Rochester, Arizona & Florida campuses

Arizona State University

Angela Zeng

Undergraduate Researcher

Brown University

Yue Dong, MD

Principal Investigator

Mayo Clinic

Co-investigators: Aysun Tekin, MD · Amelia Barwise, MD · Ellen Green, MD · Baoxin Li, MD · Alexander Niven, MD

Questions about the study?
Contact the principal investigator:

This study is conducted in accordance with Mayo Clinic IRB protocol #24-012586. Participation is voluntary. You may withdraw at any time without consequence.

Privacy & Data Protection

Participant Privacy Notice

This survey is intended to collect anonymous responses. We do not request your name, contact information, or other direct personal identifiers. The survey may be accessed through email invitations, professional networks, websites, or social media platforms.

Please do not include personal information, patient information, employer-specific information, or other identifying details in any free-text responses. While such information is not requested, participants may voluntarily provide identifying information. If this occurs, the information will be reviewed and managed in accordance with applicable privacy and data protection requirements and will not be used to identify individual participants in study analyses, reports, presentations, or publications.

Survey responses will be analyzed and reported only in aggregate form. Individual responses will not be reported in a manner that identifies participants.

For participants located in countries with applicable data protection laws, including countries subject to the General Data Protection Regulation (GDPR), participation is voluntary. By proceeding with the survey, you acknowledge that you understand the purpose of the study and consent to the collection and processing of the information you choose to provide for research purposes. Because the survey is designed to be anonymous and does not request personally identifiable information, the study team aims to minimize the collection of personal data.

The survey is expected to take approximately 10–15 minutes to complete. You may choose not to answer any questions and may stop participation at any time before submitting your responses.