  The outbreak of the COVID-19 pandemic revealed the criticality of timely
intervention in a situation exacerbated by a shortage in medical staff and
equipment. Pain-level screening is the initial step toward identifying the
severity of patient conditions. Automatic recognition of state and feelings
help in identifying patient symptoms to take immediate adequate action and
providing a patient-centric medical plan tailored to a patient's state. In this
paper, we propose a framework for pain-level detection for deployment in the
United Arab Emirates and assess its performance using the most used approaches
in the literature. Our results show that a deployment of a pain-level deep
learning detection framework is promising in identifying the pain level
accurately.
