Summary: This article reviews AI tools that assist nurses in imaging guided procedures with an academic and technical focus. It synthesizes real?time guidance, image quality assessment, and training support for POCUS and other bedside imaging.
Bedside imaging and image?guided procedures expand nursing capabilities in many settings. AI can provide real time probe guidance, automate measurements, and flag poor image quality to support safe, accurate nursing practice and training.
Technically systems use real time computer vision, probe pose estimation, automated segmentation and measurement algorithms, and feedback loops for novice users. Validation requires device integration, simulation and supervised clinical training, concordance with expert sonographers, and safety monitoring for procedural complications.
Guidance: For clinical teams: restrict AI guidance to defined scopes of practice, require supervised competency validation, integrate with device vendors and documentation systems, pilot in simulation then supervised clinical use, and maintain clear escalation to imaging specialists for ambiguous findings.
Conclusion: AI guided imaging can expand nursing procedural capability when paired with competency training, device integration, and conservative clinical governance.
Final Summary: real time probe guidance; image quality checks; automated measurements; supervised training; device integration
Useful Facts: POCUS | procedural nursing | clinical imaging
Related Topics: nursing;procedural skills AI improves novice POCUS image acquisition in simulation; Automated measurements reduce interobserver variability; Supervised clinical validation is required; Device integration streamlines documentation; Escalation pathways preserve safety