3D ultrasound (US) imaging has shown significant benefits in enhancing the outcomes of percutaneous liver tumour ablation. Its clinical integration is crucial for transitioning 3D US into the therapeutic domain. However, challenges of tumour identification in US images continue to hinder its broader adoption. In this work, we propose a novel framework for integrating 3D US into the standard ablation workflow. We present a key component, a clinically viable 2D US-CT/MRI registration approach, leveraging 3D US as an intermediary to reduce registration complexity. To facilitate efficient verification of the registration workflow, we also propose an intuitive multimodal image visualization technique. In our study, 2D US-CT/MRI registration achieved a landmark distance error of approximately 2-4 mm with a runtime of 0.22s per image pair. Additionally, non-rigid registration reduced the mean alignment error by approximately 40% compared to rigid registration. Results demonstrated the efficacy of the proposed 2D US-CT/MRI registration workflow. Our integration framework advanced the capabilities of 3D US imaging in improving percutaneous tumour ablation, demonstrating the potential to expand the therapeutic role of 3D US in clinical interventions.

When a book titled Terrorism: A Very Short Introduction, written by the British professor and historian Charles Townshend, was found by police near the pro-Palestine student encampment at Columbia University, it was held up by New York Police Department (NYPD) Deputy Commissioner Kaz Daughtry as evidence of some kind of foreign, radicalising influence on student activism. Apparently, for Daughtry, reading a book on terrorism is evidence of radicalisation. Knowing about terrorism makes you at risk of committing terrorism. Finding a book near a student encampment confirms that pro-Palestine solidarity is linked to terrorism. What Daughtry was arguably trying to do was darken Palestine activism on college campuses across the United States with the association of terrorism.

Join the audience for an AI in Medical Physics Week live webinar at 3 p.m. BST on 23 June 2022 based on IOP Publishing's special issue, Focus on Machine Learning Models in Medical Imaging Want to take part in this webinar? An overview will be given of the role of artificial intelligence (AI) in automatic delineation (contouring) of organs in preclinical cancer research models. It will be shown how AI can increase efficiency in preclinical research. Speaker: Frank Verhaegen is head of radiotherapy physics research at Maastro Clinic, and also professor at the University of Maastricht, both located in the Netherlands. He is also a co-founder of the company SmART Scientific Solutions BV, which develops research software for preclinical cancer research.

When Luke Stark sought money from Google in November he had no idea he'd be turning down $60,000 from the tech giant in March. Stark, an assistant professor at Western University in Ontario, Canada, studies the social and ethical impacts of artificial intelligence. In late November, he applied for a Google Research Scholar award, a no-strings-attached research grant of up to $60,000 to support professors who are early in their careers. He put in for the award, he said, "because of my sense at the time that Google was building a really strong, potentially industry-leading ethical AI team." Soon after, that feeling began to dissipate.

Though the beauty industry seeks to eradicate them, research has shown that having wrinkles can be a positive thing. Researchers from Western University and the University of Miami found that human brains are pre-wired to view people as more sincere if they have wrinkles around their eyes when they smile and frown. People who have the so-called'Duchenne marker' are viewed as conveying more intense and more sincere emotions. Researchers used a method called visual rivalry and showed study participants photographs of expressions with and without the Duchenne marker to see which expressions are perceived as more important. When different images are shown in each eye, the brain alternates between these two images, but will bring the image that is perceived as more relevant into perceptual awareness more often.

Adam Kassam is the chief resident physician in the department of Physical Medicine & Rehabilitation at Western University in London, Ont.. Naila Kassam is a family physician and adjunct professor in the department of Family Medicine at Western University. By honing the incredible potential of neural nets -- the assembly of computer networks -- in a way that mirrors the architecture of the human brain, Dr. Hinton has unlocked the learning power of machines. In so doing, he has become the darling of a burgeoning area of computing that has the ability to completely revolutionize the practice of medicine and the delivery of health care. Geoffrey Hinton of the University of Toronto is among the foremost researchers in the field of machine-learning and artificial intelligence. As AI begins to take off, will the health-care industry be receptive to technological disruption despite its notorious aversion to change? What is clear is that it will be crucial for the medical community to use its clinical expertise to help leverage technology and AI to improve the delivery of health care.

The IQ test has long been dismissed as an inaccurate way to discern how intelligent a person really is - but now scientists may have found a better way. Researchers say MRI scans can measure human intelligence, and define exactly what it is. This could lead to radical leaps in AI with machines programmed to think in the same way we do. Researchers say MRI scans can measure human intelligence - and define what it is. This could lead to radical leaps in AI with machines programmed to think in the same way we do.

A given representational language can be implemented in all manner of ways: predicate calculus assertions may be implemented as lists, as character sequences, Minsky introduced the terminology of'frames' to unify and denote a loose as trees, as networks, as patterns in an associative memory, etc: collection of related ideas on knowledge representation: a collection which, all giving different computational properties but all encoding the same representational since the publication of his paper (Minsky, 1975) has become even looser.

J. Do RAN 433 22 Chromosome classification and segmentation as exercises in knowing what to expect.

MACHINE INTELLIGENCE 8 Machine Representations of Knowledge Machine Intelligence Volumes 1-7 Editor-in-Chief: Donald Michie are all published by Edinburgh University Press and in the United States of America by Halsted Press (a subsidiary of John Wiley & Sons, Inc.) MACHINE INTELLIGENCE 8 New York - London - Sydney - Toronto The publisher's colophon is reproduced from James Gillison's drawing of the ancient Market Cross, Chichester No part of this publication may be reproduced, stored in a retrieval system or transmitted, in any form or by any means, electronic, mechanical photocopying, recording or otherwise, without prior permission.