Meet imaging challenges with AI and deep-learning solutions (2024)-WEB05-2024

Video Transcription

Video Summary

The discussion focused on addressing radiology department challenges by leveraging AI and deep learning to improve imaging workflows and image quality. Panelists included Dr. Peckett, Dr. Lyme Gruber, and Greg Verburg, with Melissa Burkett as the moderator. The conversation highlighted the role of AI in enhancing operational efficiency amidst staffing issues and burnout. Solutions from GE Healthcare, such as deep learning-enabled imaging, aim to deliver exceptional image quality and streamline the entire clinical workflow, reducing manual steps and enhancing decision-making capabilities.<br /><br />Greg Verburg emphasized the automation of CT workflows using AI to standardize processes and reduce radiologist workload. Dr. Lyme Gruber discussed the integration of advanced technologies in a Swiss hospital to improve PET and SPECT imaging and workflow. Dr. Peckett highlighted improvements in MR imaging workflows and image quality through automation, such as GE’s AIR Recon DL, which significantly enhances image quality and reduces scan time.<br /><br />The panelists agreed that these advancements lead to improved patient care by reducing scan times and increasing image consistency, while also addressing potential concerns about increased workload for technologists and radiologists by streamlining processes and decreasing the need for repeat scans.

Keywords

radiology

AI

deep learning

imaging workflows

image quality

automation

GE Healthcare

operational efficiency

patient care