Collaborating Authors

Artificial intelligence in medicine and healthcare: a review and classification of current and near-future applications and their ethical and social Impact Artificial Intelligence

This paper provides an overview of the current and near-future applications of Artificial Intelligence (AI) in Medicine and Health Care and presents a classification according to their ethical and societal aspects, potential benefits and pitfalls, and issues that can be considered controversial and are not deeply discussed in the literature. This work is based on an analysis of the state of the art of research and technology, including existing software, personal monitoring devices, genetic tests and editing tools, personalized digital models, online platforms, augmented reality devices, and surgical and companion robotics. Motivated by our review, we present and describe the notion of 'extended personalized medicine', we then review existing applications of AI in medicine and healthcare and explore the public perception of medical AI systems, and how they show, simultaneously, extraordinary opportunities and drawbacks that even question fundamental medical concepts. Many of these topics coincide with urgent priorities recently defined by the World Health Organization for the coming decade. In addition, we study the transformations of the roles of doctors and patients in an age of ubiquitous information, identify the risk of a division of Medicine into 'fake-based', 'patient-generated', and 'scientifically tailored', and draw the attention of some aspects that need further thorough analysis and public debate.

Augmented Reality Dentistry Will Show You How Your Teeth Look Post-Treatment

International Business Times

Getting dental work done is generally very expensive and you have to basically estimate by looking at casts and molds as to how your teeth will look post-treatment. A Swiss startup is working on changing this paradigm. Kapanu has created a virtual mirror which will show you your post-treatment teeth using augmented reality (AR) and 3D imaging. The company has created an AR engine in collaboration with Disney Research, which will be used for medical purposes, the first one being dentistry. The company showcased its tech at the International Dental Show in Cologne, Germany, last year and claims that it received "overwhelming feedback" from dentists, dental hygienists and dental technicians.

Machine learning architectures to predict motion sickness using a Virtual Reality rollercoaster simulation tool Artificial Intelligence

Virtual Reality (VR) can cause an unprecedented immersion and feeling of presence yet a lot of users experience motion sickness when moving through a virtual environment. Rollercoaster rides are popular in Virtual Reality but have to be well designed to limit the amount of nausea the user may feel. This paper describes a novel framework to get automated ratings on motion sickness using Neural Networks. An application that lets users create rollercoasters directly in VR, share them with other users and ride and rate them is used to gather real-time data related to the in-game behaviour of the player, the track itself and users' ratings based on a Simulator Sickness Questionnaire (SSQ) integrated into the application. Machine learning architectures based on deep neural networks are trained using this data aiming to predict motion sickness levels. While this paper focuses on rollercoasters this framework could help to rate any VR application on motion sickness and intensity that involves camera movement. A new well defined dataset is provided in this paper and the performance of the proposed architectures are evaluated in a comparative study.

A 20-Year Community Roadmap for Artificial Intelligence Research in the US Artificial Intelligence

Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.

Finland celebrated May Day by throwing a massive VR concert


May Day is a real cause for celebration in Finland, but since the country is practicing social distancing in hopes of slowing the spread of coronavirus, many in-person celebrations had to be put on hold. In an attempt to unite Finland's population, however, the country carried out a remote May Day celebration. Thanks to help from popular rap stars, JVG, and Helsinki-based virtual reality studio, Zoan, residents were able to celebrate May Day by watching the virtual concert shown above. According to a press release, the musical event was inspired by "the success of gigs in gaming platform Fortnite." Viewers, or virtual attendees, were even able to choose their own avatars and interact with the rappers using "gestures, applause, and emojis."