[HTML][HTML] Quantum computing for healthcare: A review
In recent years, the interdisciplinary field of quantum computing has rapidly developed and
garnered substantial interest from both academia and industry due to its ability to process …
garnered substantial interest from both academia and industry due to its ability to process …
The state of quantum computing applications in health and medicine
FF Flöther - Research Directions: Quantum Technologies, 2023 - cambridge.org
Medicine, including fields in healthcare and life sciences, has seen a flurry of quantum-
related activities and experiments in the last few years (although biology and quantum …
related activities and experiments in the last few years (although biology and quantum …
Quantum machine learning in medical image analysis: A survey
L Wei, H Liu, J Xu, L Shi, Z Shan, B Zhao, Y Gao - Neurocomputing, 2023 - Elsevier
With the outstanding superposition and entanglement properties of quantum computing,
quantum machine learning has attracted widespread attention in many fields, such as …
quantum machine learning has attracted widespread attention in many fields, such as …
Quantum machine learning applications in the biomedical domain: A systematic review
Quantum technologies have become powerful tools for a wide range of application
disciplines, which tend to range from chemistry to agriculture, natural language processing …
disciplines, which tend to range from chemistry to agriculture, natural language processing …
Artificial intelligence, computational simulations, and extended reality in cardiovascular interventions
Artificial intelligence, computational simulations, and extended reality, among other 21st
century computational technologies, are changing the health care system. To collectively …
century computational technologies, are changing the health care system. To collectively …
[HTML][HTML] Programming quantum neural networks on NISQ systems: an overview of technologies and methodologies
S Markidis - Entropy, 2023 - mdpi.com
Noisy Intermediate-Scale Quantum (NISQ) systems and associated programming interfaces
make it possible to explore and investigate the design and development of quantum …
make it possible to explore and investigate the design and development of quantum …
[HTML][HTML] Unlocking the potential of quantum machine learning to advance drug discovery
The drug discovery process is a rigorous and time-consuming endeavor, typically requiring
several years of extensive research and development. Although classical machine learning …
several years of extensive research and development. Although classical machine learning …
[HTML][HTML] An evaluation of hardware-efficient quantum neural networks for image data classification
Quantum computing is expected to fundamentally change computer systems in the future.
Recently, a new research topic of quantum computing is the hybrid quantum–classical …
Recently, a new research topic of quantum computing is the hybrid quantum–classical …
QuCardio: Application of Quantum Machine Learning for Detection of Cardiovascular Diseases
This research is the first of its kind to leverage the power of Quantum Machine Learning
(QML) to perform multi-class classification of Cardiovascular Diseases (CVDs). We propose …
(QML) to perform multi-class classification of Cardiovascular Diseases (CVDs). We propose …
Fat-based studies for computer-assisted screening of child obesity using thermal imaging based on deep learning techniques: a comparison with quantum machine …
The main objectives are (i) to study the relation of temperature of brown adipose tissue
(BAT) with respect to obesity in different regions of the human body and to predict the most …
(BAT) with respect to obesity in different regions of the human body and to predict the most …