Objects Detection System for ICU Room Using Computer Vision

Presentation Time: 04:30 PM - 04:45 PM

Abstract Keywords: Machine Learning, Knowledge Representation and Information Modeling, Privacy and Security, Simulation of Complex Systems, Patient Safety
Primary Track: Applications
Programmatic Theme: Clinical Informatics

Training deep models tailored for medical applications requires a large amount of data, a challenge that frequently conflicts with patient and medical staff privacy concerns. Our approach addresses this challenge by capturing thousands of images within an intensive care unit (ICU) patient room, employing a diverse dataset to effectively train a deep learning model for ICU object detection.

Speaker(s):
Keivan Nalaie, Doctor of Philosophy
Mayo Clinic

Author(s):
Brian Pickering, MD, FFARCSI - Mayo Clinic; Daniel Diedrich, MD - Mayo Clinic; Vitaly Herasevich, MD, PhD, FCCM, FAMIA - Mayo Clinic; Heidi Lindroth, PhD RN - Mayo Clinic Minnesota;