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Artificial intelligence (AI) is a field of data science pertaining to advanced computing machines capable of learning from data and interacting with the human world. Early diagnosis and diagnostics, ...

The advent of deep neural networks as a new artificial intelligence (AI) technique has engendered a large number of medical applications, particularly in medical imaging. Such applications of AI must remain grounded in the fundamental tenets of science and scientific publication (1). Scientific results must be reproducible, and a scientific publication must describe the authors’ work in sufficient detail to enable readers to determine the rigor, quality, and generalizability of the work, and potentially to reproduce the work’s results. A number of valuable manuscript checklists have come into widespread use, including the Standards for Reporting of Diagnostic Accuracy Studies (STARD) (2–5), Strengthening the Reporting of Observational studies in Epidemiology (STROBE) (6), and Consolidated Standards of Reporting Trials (CONSORT) (7,8). A radiomics quality score has been proposed to assess the quality of radiomics studies (9).

Encompassing multidisciplinary interactions in industry, medicine and art fields research, this open access, peer reviewed journal publishes high quality ...

Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using...

Recent years have witnessed promising artificial intelligence (AI) applications in many disciplines, including optics, engineering, medicine, economics, and education. In particular, the synergy of AI and meta-optics has greatly benefited both fields. Meta-optics are advanced flat optics with novel functions and light-manipulation abilities. The optical properties can be engineered with a unique design to meet various optical demands. This review offers comprehensive coverage of meta-optics and artificial intelligence in synergy. After providing an overview of AI and meta-optics, we categorize and discuss the recent developments integrated by these two topics, namely AI for meta-optics and meta-optics for AI. The former describes how to apply AI to the research of meta-optics for design, simulation, optical information analysis, and application. The latter reports the development of the optical Al system and computation via meta-optics. This review will also provide an in-depth discussion of the challenges of this interdisciplinary field and indicate future directions. We expect that this review will inspire researchers in these fields and benefit the next generation of intelligent optical device design.

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Frontiers of Information Technology & Electronic Engineering -...

The security of a community is its topmost priority; hence, governments must take proper actions to reduce the crime rate. Consequently, the applicati…

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The European Commission appointed a group of experts to provide advice on its artificial intelligence strategy.

At Mindfire, we bring great minds together to solve AI challenges faced by businesses, science, and humanity. Our global, multidisciplinary community of talented individuals spans fields ranging from computer science to mathematics, physics, neuroscience, robotics and beyond. We firmly believe that by combining human creativity with AI, there are few problems we can’t solve.

The deployment of wearable or body-worn devices is increasing rapidly, and thus researchers’ interests mainly include technical and economical issues, such as networking, interoperability, security, power optimization, business growth and regulation. ...

Learn what a vertical application is by reading phoenixNAP's IT glossary. Check out its basic definition and main use in IT.

In the current epidemic of opioid use disorders, there is both a scientific and ethical imperative to develop effective medical and behavioral treatments for opioid addiction. Research in subject populations with active and ongoing drug addictions bring ...

Introduction This miniguide is one of a larger set, which together comprise Health and social responses to drug problems: a European guide.