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
OBJECTIVE
Radiology reports remain predominantly text-based, requiring clinicians and patients to mentally reconstruct imaging findings. Reports in Medical Illustration (REMIL) represent an emerging approach in which artificial intelligence (AI) generates simplified visual summaries directly from report text. This stud...
V. U. Reddy, N. Susmitha, Rajesh Botchu· Academic Radiology· 0 citations
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