Marking a significant step towards autonomous MRI scanning
The newest SmartSpeed Exact [1] know-how additional enhances productiveness, enabling scans to be accomplished as much as 3 times quicker [7], considerably slicing scan instances whereas sustaining distinctive picture high quality. On the core of SmartSpeed Exact is its dual-AI engine, which delivers an 80% enchancment in picture sharpness [8], enhancing visualization for extra assured and correct diagnoses. This highly effective mixture of pace and precision permits radiologists to detect refined abnormalities with better readability, in the end main to raised affected person outcomes. Philips’ new launch – MR Workspace R12 [6] – introduces a ‘zero-click’ workflow [9], seamlessly guiding your entire imaging course of from scan initiation to report era. By decreasing guide intervention and optimizing effectivity, MR Workspace R12 [6] empowers radiology departments to spice up affected person throughput and scale back backlogs, addressing the growing demand for quicker and extra exact imaging. A key innovation inside MR Workspace R12 [6] is its AI-powered SmartExam characteristic, which automates 80% of MR procedures [10], streamlining operations and standardizing imaging workflows.
Extra groundbreaking improvements embody Good Studying [4], the trade’s first answer that seamlessly [11] integrates cloud-based AI-driven quantitative reporting. Good Studying leverages cutting-edge AI platforms similar to icobrain (icometrix) for neurology – together with Alzheimer’s illness detection – and QP-Prostate (Quibim) for superior prostate most cancers diagnostics. By delivering goal, high-confidence diagnoses, these zero-click [9] AI options assist guarantee streamlined, data-driven decision-making for clinicians. With MR Workspace R12 [6], SmartSpeed Exact [1], and Good Studying [4], Philips continues to push the boundaries of AI in MRI, driving effectivity, accuracy, and accessibility in diagnostic imaging whereas paving the way in which for the way forward for autonomous MR scanning
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