Utilization of deep learning techniques to assist clinicians in diagnostic and interventional radiology: Development of a virtual radiology assistant

Abstract

was significantly higher in post-implementation period than that in pre-implementation period (Po0.001). Conclusions: Implementation of Mallampati score and ASA classification in the pre-procedural evaluation allows for identification of patients with potential cardiorespiratory complications who could benefit from the utilization of general anesthesia. An increase in utilization of anesthesia was identified as was a trend toward reduction in cardiorespiratory complications during IR procedures following implementation of this simple pre-procedural assessment.

Use of Artificial Intelligence in Nononcologic Interventional Radiology: Current State and Future Directions

“…In one study, scientists developed a virtual text-based radiology assistant/consultant. 34 It was developed to serve as the communication point of contact between referring providers and IR. The program simulates conversation on a traditional text-based platform.…”

“…Once queries are entered into the system, relevant information (in the form of infographics and Web sites) are sent back to the provider. 34 This tool allows clinicians to focus on patient care and reduces the time spent on repetitive communications tasks. 34 On the referring provider's end, this tool allows them to obtain information quickly without any wait time for a provider to be available.…”

“…34 This tool allows clinicians to focus on patient care and reduces the time spent on repetitive communications tasks. 34 On the referring provider's end, this tool allows them to obtain information quickly without any wait time for a provider to be available. Further quality control needs to be performed to make sure the system forwards queries to the provider reliably when it receives questions outside of the data it was trained on.…”