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Recent advances of artificial intelligence in healthcare: a systematic literature review
The implementation of artificial intelligence (AI) is driving significant transformation inside
the administrative and clinical workflows of healthcare organizations at an accelerated rate …
the administrative and clinical workflows of healthcare organizations at an accelerated rate …
Digital twin: current research trends and future directions
Cyber physical systems, as a backbone of the Fourth Industrial Revolution (IR 4.0), and all
their enabling technologies introduced a relatively newer concept named the digital twin …
their enabling technologies introduced a relatively newer concept named the digital twin …
Automatic COVID-19 detection mechanisms and approaches from medical images: a systematic review
Abstract Since early 2020, Coronavirus Disease 2019 (COVID-19) has spread widely
around the world. COVID-19 infects the lungs, leading to breathing difficulties. Early …
around the world. COVID-19 infects the lungs, leading to breathing difficulties. Early …
Classification techniques for arrhythmia patterns using convolutional neural networks and internet of things (IoT) devices
The rise of Telemedicine has revolutionized how patients are being treated, leading to
several advantages such as enhanced health analysis tools, accessible remote healthcare …
several advantages such as enhanced health analysis tools, accessible remote healthcare …
Semantic analysis of blockchain intelligence with proposed agenda for future issues
Integrating blockchain technology with artificial intelligence (AI) ie, blockchain Intelligence
makes an extremely powerful tool that solves many multidimensional problems in several …
makes an extremely powerful tool that solves many multidimensional problems in several …
A survey on artificial intelligence techniques for chronic diseases: open issues and challenges
Artificial Intelligence (AI) has given significant solutions to the healthcare domain for
analyzing various chronic diseases. With the advent of high-end systems, ie, Graphics …
analyzing various chronic diseases. With the advent of high-end systems, ie, Graphics …
Pre-processing based ECG signal analysis using emerging tools
The objective of the paper is to count the clear beats (R-peaks or QRS complexes) in the
Electrocardiogram (ECG) signal after the pre-processing step. Among the three selected …
Electrocardiogram (ECG) signal after the pre-processing step. Among the three selected …
Modified Otsu thresholding based level set and local directional ternary pattern technique for liver tumor segmentation
DS Uplaonkar, Virupakshappa, N Patil - International Journal of System …, 2024 - Springer
In recent times, the liver tumors are one of the leading causes of death, hence automated
segmentation of liver tumors helps physicians in early diagnosis and treatment options. In …
segmentation of liver tumors helps physicians in early diagnosis and treatment options. In …
Artificial intelligence with fuzzy logic system for learning management evaluation in higher educational systems
ZY Lv, H Shen - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
In this paper, the mathematical model and algorithm based on knowledge forgetting curve
are studied. Through the analysis of the current mathematical modeling and application of …
are studied. Through the analysis of the current mathematical modeling and application of …
Artificial intelligence research and its contributions to the European Union's political governance: comparative study between member states
In the last six decades, many advances have been made in the field of artificial intelligence
(AI). Bearing in mind that AI technologies are influencing societies and political systems …
(AI). Bearing in mind that AI technologies are influencing societies and political systems …