Pre-deployment assessment of an AI model to assist radiologists in chest X-ray detection and identification of lead-less implanted electronic devices for pre-MRI safety screening: realized implementation needs and proposed operational solutions.
Richard D WhiteMutlu DemirerVikash GuptaRonnie A SebroFrederick M KusumotoBarbaros Selnur ErdalPublished in: Journal of medical imaging (Bellingham, Wash.) (2022)
Our LLIED-related AI methodology supports (1) 100% detection sensitivity, (2) high identification (including MRI-safety) accuracy, and (3) future model deployment with facilitated inference-result display and adjudication for ongoing model adaptation to future real-world experiences.