AIMC Topic: Artificial Intelligence

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Challenges and opportunities associated with rare-variant pharmacogenomics.

Trends in pharmacological sciences
Recent advances in next-generation sequencing (NGS) have resulted in the identification of tens of thousands of rare pharmacogenetic variations with unknown functional effects. However, although such pharmacogenetic variations have been estimated to ...

The current role of artificial intelligence in hemophilia.

Expert review of hematology
INTRODUCTION: The utilization of artificial intelligence (AI) in hemophilia is still in its early phases.

A Cloud Enabled Crop Recommendation Platform for Machine Learning-Driven Precision Farming.

Sensors (Basel, Switzerland)
Modern agriculture incorporated a portfolio of technologies to meet the current demand for agricultural food production, in terms of both quality and quantity. In this technology-driven farming era, this portfolio of technologies has aided farmers to...

A lightweight hybrid deep learning system for cardiac valvular disease classification.

Scientific reports
Cardiovascular diseases (CVDs) are a prominent cause of death globally. The introduction of medical big data and Artificial Intelligence (AI) technology encouraged the effort to develop and deploy deep learning models for distinguishing heart sound a...

The Adoption of Artificial Intelligence in Health Care and Social Services in Australia: Findings From a Methodologically Innovative National Survey of Values and Attitudes (the AVA-AI Study).

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) for use in health care and social services is rapidly developing, but this has significant ethical, legal, and social implications. Theoretical and conceptual research in AI ethics needs to be complemented wit...

The potential of predictive and prognostic breast MRI (P2-bMRI).

European radiology experimental
Magnetic resonance imaging (MRI) is an important part of breast cancer diagnosis and multimodal workup. It provides unsurpassed soft tissue contrast to analyse the underlying pathophysiology, and it is adopted for a variety of clinical indications. P...

Creating Sustainable Cultural Industries: The Perspective of Artificial Intelligence and Global Value Chain.

Journal of environmental and public health
In the era of artificial intelligence (AI), cultural industries have introduced new development opportunities, and their global value chain (GVC) position is receiving more attention. This study uses panel data from global cross-borders from 56 count...

Automated COVID-19 Classification Using Heap-Based Optimization with the Deep Transfer Learning Model.

Computational intelligence and neuroscience
The outbreak of the COVID-19 pandemic necessitates prompt identification of affected persons to restrict the spread of the COVID-19 epidemic. Radiological imaging such as computed tomography (CT) and chest X-rays (CXR) is considered an effective way ...

Identification of technology frontiers of artificial intelligence-assisted pathology based on patent citation network.

PloS one
OBJECTIVES: This paper aimed to identify the technology frontiers of artificial intelligence-assisted pathology based on patent citation network.