This review provides a unified framework for understanding the evolution of volumetric medical imaging and offers actionable insights for researchers, clinicians, and industry practitioners, contributing to the development of reliable, interpretable, and clinically deployable next-generation medical AI systems.
Muhammad Owais, Muhammad Zubair, Daniya Najiha Abdul Kareem et al.· Archives of Computational Me...· 9 citations· ⚡1
This survey organizes the literature on uncertainty-aware MLLMs around a decision-centered framework: uncertainty sources give rise to observable signals, signals must be calibrated or controlled for risk, and calibrated uncertainty should determine the system action.
A semantic attention-driven retrieval framework based on a lightweight Meta-Domain Adaptive Segmentation Network (MDA-SN) with an adaptive data normalization strategy to enhance infection detection in cross-dataset analysis and achieves real-time execution.
Muhammad Owais, Taimur Hassan, Naqash Afzal et al.· Scientific Reports· 1 citation
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