👁️ Last but not least, he reiterated the importance of the PCCP for updating AI-enabled medical devices, which we break down in our latest pre-print: arxiv.org/pdf/2412.20498

👉 Medical text can be easily de-identified by open-source tools for simplifying data sharing (e.g. the Stanford AIMI De-identifier by Pierre Chambon et al.)

👉 Vision-language foundation models (e.g. CheXagent 🩻 by Zhihong Chen et al.) can bring significant time savings in radiology report drafting and interpretation

👉 Synthetically generated images can augment training sets to increase model accuracy

👉 Patient-friendly explanations of radiology reports improve patient understanding and are rarely harmful