Amid rising breast imaging volume and the strain of radiologist shortages, Mark Traill, MD has been using artificial intelligence (AI) for the past five years. In a recent interview at the RSNA conference, Dr. Traill called AI “indispensable” in navigating his daily workload.
AI is always by his side, helping him find cancers. He has multiple examples of small lesions coming across his board, where AI identified them and basically presented them to him on a silver platter. Dr. Traill thinks maybe he would have seen these little lesions and maybe he wouldn’t have. He’s repeatedly thankful that AI is there as a safety net to keep a lookout on the images so he doesn’t err in missing an early malignancy.
The mammography worklist triage capabilities with AI can significantly improve turnaround times and facilitate improved efficiencies in patient care. Dr. Traill emphasized that it can potentially identify patients that need further workup in a much shorter amount of time. This would allow for faster diagnostic processes, quicker appointments with a surgeon, and ultimately, more timely treatments.
Dr. Traill, an assistant clinical professor at the Michigan State University College of Osteopathic Medicine, noted that this is a huge advantage in busy departments. Being able to triage patients to the front of the queue with the help of AI is crucial in handling the increasing breast imaging volume and radiologist shortages.
For additional insights from Dr. Traill, Dr. Traill’s comments on the importance of AI in radiology can be seen as a safety net, ensuring that no early malignancies are missed.
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