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Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence

arXiv.org Artificial Intelligence

Mobile Augmented Reality (MAR) integrates computer-generated virtual objects with physical environments for mobile devices. MAR systems enable users to interact with MAR devices, such as smartphones and head-worn wearables, and performs seamless transitions from the physical world to a mixed world with digital entities. These MAR systems support user experiences by using MAR devices to provide universal accessibility to digital contents. Over the past 20 years, a number of MAR systems have been developed, however, the studies and design of MAR frameworks have not yet been systematically reviewed from the perspective of user-centric design. This article presents the first effort of surveying existing MAR frameworks (count: 37) and further discusses the latest studies on MAR through a top-down approach: 1) MAR applications; 2) MAR visualisation techniques adaptive to user mobility and contexts; 3) systematic evaluation of MAR frameworks including supported platforms and corresponding features such as tracking, feature extraction plus sensing capabilities; and 4) underlying machine learning approaches supporting intelligent operations within MAR systems. Finally, we summarise the development of emerging research fields, current state-of-the-art, and discuss the important open challenges and possible theoretical and technical directions. This survey aims to benefit both researchers and MAR system developers alike.


Top 10 Healthcare Industry Trends & Innovations in 2021

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Healthcare industry trends that we witness today are new technologies and solutions that address the requirements for clinical diagnosis, treatment, and disease management. The global COVID-19 pandemic led to an upsurge in technologies for disinfecting, limiting transmission, detecting disease spread, as well as for treatment, patient management, and immunization. The advancements in the healthcare industry range from e-consultations, telemedicine, real-time diagnosis to accessing digital therapeutics provided by immersion technology tools. Genetic analysis, clinical data storage, and big data & analytics enable the development of precision medicine. The adoption of artificial intelligence (AI), the internet of things (IoT), and data management practices is making hospitals smarter. These solutions enhance workflows and staff scheduling and provide connected infrastructure, devices, and systems to accelerate accurate and equitable clinical services. For this in-depth research on the Top Healthcare Industry Trends & Startups, we analyzed a sample of 3.622 global startups and scaleups.


Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects

arXiv.org Artificial Intelligence

The significant increase in the number of individuals with chronic ailments (including the elderly and disabled) has dictated an urgent need for an innovative model for healthcare systems. The evolved model will be more personalized and less reliant on traditional brick-and-mortar healthcare institutions such as hospitals, nursing homes, and long-term healthcare centers. The smart healthcare system is a topic of recently growing interest and has become increasingly required due to major developments in modern technologies, especially in artificial intelligence (AI) and machine learning (ML). This paper is aimed to discuss the current state-of-the-art smart healthcare systems highlighting major areas like wearable and smartphone devices for health monitoring, machine learning for disease diagnosis, and the assistive frameworks, including social robots developed for the ambient assisted living environment. Additionally, the paper demonstrates software integration architectures that are very significant to create smart healthcare systems, integrating seamlessly the benefit of data analytics and other tools of AI. The explained developed systems focus on several facets: the contribution of each developed framework, the detailed working procedure, the performance as outcomes, and the comparative merits and limitations. The current research challenges with potential future directions are addressed to highlight the drawbacks of existing systems and the possible methods to introduce novel frameworks, respectively. This review aims at providing comprehensive insights into the recent developments of smart healthcare systems to equip experts to contribute to the field.


18 Healthcare Augmented Reality and Virtual Reality Companies to Watch

#artificialintelligence

Augmented reality (AR) and virtual reality (VR) are redefining what's possible in healthcare, as well as other sectors. The 18 companies listed below are some of the top virtual and augmented reality companies in the medical industry. Augmented reality is a technology that blends real-world elements with virtual ones. For example, a person might visit a trade show and aim their smartphone at a display to activate an AR experience that allows them to see a computer-generated version of a product. This approach is particularly useful for getting people excited about prototypes or helping them understand the potential of any item not yet finalized.


Want to Know How Automation Is Revolutionizing Healthcare Sector?

#artificialintelligence

In the past few years, the healthcare industry has undergone an ample amount of changes. These changes are more in the ways how the healthcare industry stores data. Moving backward in our distant past, remind us of the old paper-based method to keep health records. It doesn't exist anymore in our present. Instead, we have new data-keeping methods, i.e., online digital records where storing & sharing information is easy.