@article{Wong_Noor_Corradi_Via_2026, place={Fidenza (PR), Italy}, title={Seven Pillars for a Community-Led AI-POCUS Future – A WINFOCUS Manifesto}, volume={18}, url={https://mattioli1885journals.com/index.php/theultrasoundjournal/article/view/18454}, DOI={10.5826/tuj.2026.18454}, abstractNote={
The rapid integration of Artificial Intelligence (AI) into Point-of-Care Ultrasound (POCUS) represents a transformative shift, offering the potential to democratize diagnostic expertise while simultaneously presenting significant risks regarding clinical validation, workforce preparedness, and health equity. Informed by a recent global survey indicating that while 81% of practitioners are optimistic about AI, major concerns remain regarding training and evidence gaps, the World Interactive Network Focused On Critical UltraSound (WINFOCUS) proposes a unified strategic framework. This manifesto outlines seven foundational pillars to guide the ethical and effective adoption of AI-augmented POCUS: (1) earning trust through rigorous, prospective evidence; (2) building an AI-literate workforce through evolved curricula; (3) championing global equity to prevent widening health disparities; (4) ensuring algorithmic transparency and accountability; (5) designing for seamless human-AI collaboration; (6) establishing a sustainable, privacy-centric data infrastructure; and (7) committing to continuous, patient-centered evaluation. We present this roadmap as a global call to action for clinicians, researchers, and industry partners to collectively shape a future where technology amplifies clinical wisdom and improves patient outcomes.
}, number={1}, journal={The Ultrasound Journal}, author={Wong, Adrian and Noor, Julina and Corradi, Francesco and Via, Gabriele}, year={2026}, month={Aug.}, pages={18454} }