AI enabled audio-visual annotation for endoscopic procedures

Video endoscopy is the main diagnostic and screening method for cancer screening in the gastrointestinal (GI) tract. Currently, the endoscopic video is not sufficiently documented, which makes reviewing of these videos difficult. The research team will partner with the company to develop an audio/video recording technology to combine physician voice annotation of the video during the endoscopy procedure. This project will produce more detailed documented endoscopic video and allow more accurate comparison of videos recorded at different time to monitor disease progress.

Faculty Supervisor:

Qiyin Fang

Student:

Ian Phillips

Partner:

AzadMedica Inc.

Discipline:

Engineering - biomedical

Sector:

Professional, scientific and technical services

University:

McMaster University

Program:

Accelerate

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