AIMC Topic: Research

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[Research progress in medical imaging based on deep learning of neural network].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
The development of computer hardware allows rapid accumulation of medical imaging data. Deep learning has shown great potential in medical imaging data analysis and establish a new area of machine learning. The commonly used deep learning models were...

[Current Status of Robotic Research for Individuals with Autism Spectrum Disorders].

Brain and nerve = Shinkei kenkyu no shinpo
Individuals with autism spectrum disorders (ASD) can face lifelong challenges. There are a variety of therapeutic and educational approaches, any of which may have educational benefits for some but not all individuals with ASD. The latest progress in...

Citizen science frontiers: Efficiency, engagement, and serendipitous discovery with human-machine systems.

Proceedings of the National Academy of Sciences of the United States of America
Citizen science has proved to be a unique and effective tool in helping science and society cope with the ever-growing data rates and volumes that characterize the modern research landscape. It also serves a critical role in engaging the public with ...

Using Artificial Intelligence to Combat Information Overload in Research.

IEEE pulse
Scientists striving for impact in their fields and to develop their own careers must publish papers that represent new and important science, typically in a peer-reviewed journal. The number of scientific articles published has doubled every nine yea...

The role of artificial intelligence in orthopaedic surgery.

British journal of hospital medicine (London, England : 2005)
Despite significant advances in orthopaedic surgery, variability still exists between providers and practice locations, and process inefficiencies are found throughout the health care continuum. Evolving technologies, namely artificial intelligence, ...

New tools for MHC research from machine learning and predictive algorithms to the tumour immunopeptidome.

Immunology
At a time when immunology seeks to progress ever more rapidly from characterization of a microbial or tumour antigen to the immune correlates that may define protective T-cell immunity, there is a need for robust tools to enable accurate predictions ...

Collaborative and Reproducible Research: Goals, Challenges, and Strategies.

Journal of digital imaging
Combining imaging biomarkers with genomic and clinical phenotype data is the foundation of precision medicine research efforts. Yet, biomedical imaging research requires unique infrastructure compared with principally text-driven clinical electronic ...