Background Artificial intelligence (AI) is now embedded in radiology workflows for prioritization, interpretation, quantification, and reporting. As adoption expands, radiologists must address professional responsibility, liability, patient disclosure, data governance, and algorithmic bias. Materials and Methods This n...
Iqbal Siddi Ganie, Irshad Siddi Ganie, Naazim Siddi Ganie et al.· Indian Journal of Radiology...· 0 citations
Ultrasound imaging is an indispensable diagnostic tool, yet its profound reliance on operator expertise inherently restricts its reproducibility and global accessibility. Robotic ultrasound systems (RUSS) have evolved over the past 2 decades to mitigate these limitations by mechanically decoupling the human operator fr...
S. Chapala, J. Gibson, P. Chinniah et al.· Journal of ultrasound in med...· 0 citations
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