Titlebook: Biomedical Visualisation; Volume 11 Paul M. Rea Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license to Sprin

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Correction to: How Artificial Intelligence and Machine Learning Is Assisting Us to Extract Meaning

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Creating Interactive Three-Dimensional Applications to Visualise Novel Stent Grafts That Aid in thesually communicate to clinicians and patients in a straightforward way how these devices work. Therefore, we have developed two interactive applications that use 3D visualisation techniques to demonstrate how these aortic devices function and are implemented. The objective of these applications is t

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Using Confocal Microscopy to Generate an Accurate Vascular Model for Use in Patient Education Animane way for creating an anatomically correct model, but this often needs careful consideration as data cannot be directly imported. Here we describe methods for creating an accurate 3D model of a small artery using confocal microscopy data. This model can then be animated to demonstrate the substruct

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Methods and Applications of 3D Patient-Specific Virtual Reconstructions in Surgery,pically include smoothing, decimation and colourization. Models used for illustrative purposes may undergo more advanced processing such as UV unwrapping, retopology and PBR texture mapping..Clinical applications are wide ranging and vary significantly between specialities. Beyond pure anatomical vi

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Proof of Concept for the Use of Immersive Virtual Reality in Upper Limb Rehabilitation of Multiple such approach along with evaluating intrinsic and extrinsic methods of providing feedback, namely, positive scoring, negative scoring and audio response. One physiotherapist and two individuals with MS were surveyed. Participant response was positive although small sample size impacts the user testi

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Artificial Intelligence: Innovation to Assist in the Identification of Sono-anatomy for Ultrasound-gulatory approval process needing to thoroughly evaluate the risk-benefit ratio of new devices. One area of AI to show significant promise is computer vision (a branch of AI dealing with how computers interpret the visual world), which is particularly relevant to medical image interpretation. AI inc