Results 231 to 240 of about 398,760 (313)

Agentic Artificial Intelligence in Medical Imaging Education: Architectural Autonomy and the Risk of Cognitive Surrender

open access: yesJournal of Medical Radiation Sciences, EarlyView.
Agentic AI systems embedded within imaging workflows may alter reflective reasoning by reshaping when and how verification occurs. This Perspective proposes a Tri‐System framework and argues for educational recalibration to preserve diagnostic complementarity, calibrated trust, and accountable human supervision within architecturally integrated ...
James Hayes
wiley   +1 more source

Clinical Value and Research Prospects of 1024 Matrix Optimization in 64‐Slice Cerebral CTA for Perforating Artery Visualisation

open access: yesJournal of Medical Radiation Sciences, EarlyView.
This letter comments on Nagumo et al.'s study evaluating 1024‐matrix reconstruction for intracranial perforating artery visualisation in 64‐slice cerebral CTA, affirming its cost‐effective value for standard CT scanners (https://doi.org/10.1002/jmrs.70055).
Yang Liu, Wei Wu
wiley   +1 more source

A Hybrid Covered Stent-Coil Strategy for Complex Dual Aneurysms of the Left Anterior Descending Artery. [PDF]

open access: yesAnatol J Cardiol
Kıvrak A   +4 more
europepmc   +1 more source

Response to Letter to the Editor: Impact of 1024‐Matrix Size on Perforating Artery Visualization in Cerebral CTA Using a 64‐Slice CT Scanner

open access: yesJournal of Medical Radiation Sciences, EarlyView.
This response addresses a Letter to the Editor commenting on our article on 1024‐matrix reconstruction for perforating artery visualisation in cerebral CTA using a 64‐slice CT scanner (https://doi.org/10.1002/jmrs.70055). It acknowledges that integration with iterative or deep‐learning reconstruction, workflow and PACS burden, and downstream clinical ...
Hokuto Nagumo   +5 more
wiley   +1 more source

Mapping the Landscape of Over‐Scanning in CT Imaging: A Scoping Review

open access: yesJournal of Medical Radiation Sciences, EarlyView.
Over‐scanning in CT is highly prevalent and contributes to unnecessary radiation exposure, with notable impact on radiosensitive organs. Standardised protocols and AI‐assisted planning show strong potential to optimise scan range and reduce excess dose.
Mo'men Bani‐Ahmad   +5 more
wiley   +1 more source

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