Location

Online

Start Date

3-3-2021 2:30 PM

End Date

3-3-2021 3:30 PM

Description

Pain assessment is essential to providing proper patient care and assessing its efficacy under clinical settings. To assess pain, physicians typically rely on patients' statements, which are subjective, or imaging technologies, which are unreliable as detected abnormalities do not always indicate pain and are not always present in cases of chronic pain. This research project aims at creating an automated chronic pain diagnostic system that will output a computer diagnosed pain score with the ability to accurately distinguish real from fake pain. The proposed system will enhance patient care and improve clinical practice efficiencies by applying the advanced 3D technologies and Artificial Intelligence (AI) algorithms such as Deep Convolutional Neural Networks (DCNNs).

Comments

SESSION THREE

There were two presentations offered within each Session. Presentations ran 30 minutes each (20-minute presentation with 10-minute Q&A).

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Mar 3rd, 2:30 PM Mar 3rd, 3:30 PM

Objective Method for Diagnosis of Chronic Pain (Presentation)

Online

Pain assessment is essential to providing proper patient care and assessing its efficacy under clinical settings. To assess pain, physicians typically rely on patients' statements, which are subjective, or imaging technologies, which are unreliable as detected abnormalities do not always indicate pain and are not always present in cases of chronic pain. This research project aims at creating an automated chronic pain diagnostic system that will output a computer diagnosed pain score with the ability to accurately distinguish real from fake pain. The proposed system will enhance patient care and improve clinical practice efficiencies by applying the advanced 3D technologies and Artificial Intelligence (AI) algorithms such as Deep Convolutional Neural Networks (DCNNs).