Clinical Trials

Overview

About this study

The purpose of this study is to enable the recognition ability of a camera by providing its training in advance to detect breathing tubes and oxygen masks on any person’s face and reliably recognize signature features of acute brain failure displayed by the patient.

The specific aim for this study is to develop a Computer Vision model using a camera to automatically detect the presence of an endotracheal tube (ETT), an oxygen mask, or a noninvasive ventilation device on patients in the ICU.Digital Video Recordings (DVRs) have played an important role in patient care as preventive and remote monitoring. One of the examples of the DVR application is its use to help patients learn from the recording of their gaits which detects their unsafe walking habits. Other examples of DVR use in healthcare include: supporting daily work in critical care medicine for the purposes of reducing medical errors, lowering the cost of care, and improving the quality of care by reducing the workload of providers. Recently, advances in deep learning technology especially video analytics have helped computers see the world the way humans do. This opens up the potential for automated observations and object detection in healthcare.

Participation eligibility

Participant eligibility includes age, gender, type and stage of disease, and previous treatments or health concerns. Guidelines differ from study to study, and identify who can or cannot participate. There is no guarantee that every individual who qualifies and wants to participate in a trial will be enrolled. Contact the study team to discuss study eligibility and potential participation.

Participating Mayo Clinic locations

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