Three popular approaches to healthcare that are relevant to the treatment of spine pathology are the evidence, outcome, and values-based models. The evidence-based model categorizes research into levels based on study design (e.g. The evidence-based model suffers from limited availability of Level 1 evidence data (e.g. Thus, these results are challenging for clinicians to interpret in the setting of conflicting and inconclusive results.6 Additionally, data from similar levels of evidence may be viewed as equivalent, when actual study quality may vary.
Seems like everybody's getting into the AI and robotics game -- at least the companies and research institutions that can afford to build their platforms from the ground up are. France's Pollen Robotics, on the other hand, aims to kickstart the robotics revolution with its open-source system, Reachy. The robot, being open-source, is capable of so much more. Developers can use Python to create myriad applications for the system, while the robot's modular nature allows for any number of applications whether that's food service, customer service, demonstrations or good old fashioned research and development. The system comes with built-in AI which should help developers jump straight into the meat of their research without first having to train up the machine learning component.
BEGIN ARTICLE PREVIEW: Robot surgery is burgeoning across Europe and the wider world, with one UK-built surgical robot now completing more than 1,000 operations.With a pair of 3D glasses, and using what look like video game controllers, skilled surgeons can utilise the high-tech Versius system to undertake complicated procedures with often much better outcomes for patients.The use of this key-hole surgery – or minimal access surgery – has benefits such as shorter hospital stays for patients, faster recovery time, less pain, less bleeding, and reduced scarring.Versius was created by Cambridge-based CMR Surgical, and is now in use in hospitals in France, Italy the UK and India.“If you could have a robot with articulated wrists and the enhanced vision and more people could do minimal access surgery, then more patients would get all the benefits of the minimal access,” said Mark Slack, CMR Surgical’s co-founder and chief medical officer.Launched in 2018, the system h
Artificial intelligence can make it possible to see astrophysical phenomena that were previously beyond reach. This has now been demonstrated by scientists from the CNRS, IRAM, Observatoire de Paris-PSL, Ecole Centrale Marseille and Ecole Centrale Lille, working together in the ORION-B program. In a series of three papers published in Astronomy & Astrophysics on 19 November 2020, they present the most comprehensive observations yet carried out of one of the star-forming regions closest to the Earth. The gas clouds in which stars are born and evolve are vast regions that are extremely rich in matter, and hence in physical processes. All these processes are intertwined at different size and time scales, making it almost impossible to fully understand such stellar nurseries.
Generative Adversarial Networks (GANs) are a model architecture for automatically discovering and learning the regularities or patterns in input data and using the learned patterns to generate or output new examples that plausibly could have been drawn from the original dataset. GANs are the current SOTA generative models in many domains -- most notably image synthesis and translation tasks. GAN models however require massive amounts of training data to reach decent performance. In an effort to make GANs more effective and reliable when only small, difficult, or multimodal datasets are available, a group of researchers from Facebook AI, University of the Littoral Opal Coast, University of Grenoble and University of Konstanz have proposed Evolutionary Generative Adversarial Networks (EvolGAN). The novel model uses a quality estimator and evolutionary optimization methods to search the latent space of generative adversarial networks trained on small or difficult datasets.
Acquisition Expands Medtronic's Artificial Intelligence and Data Capabilities, Becoming the First Company to Offer an Integrated Spine Solution Including AI-Driven Surgical Planning, Personalized Spinal Implants and Robotic Assisted Surgery DUBLIN, Nov. 16, 2020 /CNW/ -- Medtronic plc (NYSE:MDT), the global leader in medical technology, today announced that it has completed its friendly tender offer for France-based Medicrea International (Euronext Growth Paris: FR0004178572 – ALMED Medicrea; OTCQX Best Market – MRNTF), a pioneer in the transformation of spinal surgery through artificial intelligence (AI), predictive modeling and patient specific implants. On July 15, 2020, the parties announced a friendly voluntary all-cash tender offer at the price of €7.00 per Medicrea share. As a result of completion of the tender offer, Medtronic currently owns in excess of 90% of Medicrea's share capital and voting rights and will shortly request the implementation of a squeeze-out procedure under French law, which will result in Medicrea becoming a wholly-owned subsidiary of Medtronic. This is Medtronic's seventh acquisition completed in 2020 and furthers Medtronic's strategic expansion into AI, machine learning and predictive analytics. Medicrea's product portfolio consists of 30 510(k) cleared or CE Marked implant technologies, utilized in spinal surgeries for adult deformity, pediatric deformity and degenerative disease.
A cohort of researchers from world-renowned academic institutions such as the University of Oxford, University of Warwick, University of Montpellier and credible research labs, have invented a methodology of detecting Covid-19 (SARS-CoV-2) and other respiratory pathogens within mere minutes. This feat is made possible through the utilisation of image analysis and machine learning techniques, more specifically convolutional neural networks to classify microscopic viruses of respiratory diseases based on structural features unique to the viruses. It is entirely, understandable that some terms and phrases within this article might be unfamiliar to some readers, so, at some points in this article, some sections provide definitions to words and key terms used. Common types of pathogens are viruses, bacterias, fungi, prion, and parasites.
A lot of the AI-enhanced solutions that can help us get through this time rely on personal data, Simon said, and it's important that clients and consumers feel confident about the ethics around their use. For the new report, Capgemini surveyed 1,580 executives in 510 organizations and over 4,400 consumers around the world, in countries including the United States, the United Kingdom, China, Germany and France.
Currently, the world is facing the most challenging time and going through economic turmoil. One of the important priorities of many companies is to recover quickly from the current scenario and be operational as quickly as possible. The coronavirus has impacted many companies and this economic hit is very fast throughout the world. Companies around the globe are looking for stabilizing their business and the recovery. According to the Organization for Economic Co-operation and Development of the reports released on 14th April, consumer expenditure has dropped more than 25% in Canada, France, and Germany in many majority economies, thus causing the slowdown between 20-25%. The Machine Learning (ML) and Artificial Intelligence (AI) can play a major role in the business recovery after and during the COVID 19 pandemic.
Way2AI is a group of enthusiasts and specialists in AI & Machine Learning, created by Long Nguyen, PhD in AI (France), aiming at teaching people learning about this emerging technology. AI is really changing the world! Almost every domain can benefit from the power of AI, from business, healthcare, to transport, entertainment, and military etc. There are more and more investments in AI but the domain still lacks of qualified employees. Therefore we really hope that our contribution can help many people find a fast and easy way in approaching AI.