Guest Editors
Dr. Muhammad Aman Sheikh, Sunway University, Malaysia.
Dr. Sheikh Tahir Bakhsh, Cardiff Metropolitan University, UK.
Dr. Muhammad Awais, Lancaster University, UK.
Summary
The
aim of this special issue is to publish cutting edge research on the artificial
intelligence-based diagnosis techniques for various diseases such as brain
tumors, cancers, heart failures, strokes, liver malfunction, Diabetic kidney
problems, covid-19, obesity and surgery. The surveys of the world health
organization (WHO) indicate that these diseases are the cause of more than 90 %
of deaths in the world. Thus, the diagnostics and cure of these diseases at the
early stages can save a lot of lives. Hence, scientists, engineers and medical
health professionals are constantly looking for innovative techniques to
diagnose the various human diseases through their symptoms and clinical tests.
This
special issue is intended for health scientists, biomedical engineers,
pharmacists, hospitals and health professionals with a research interest in the
advanced technologies related to healthcare. It will cover the applications of
artificial intelligence, machine learning, deep learning, the Internet of
Things (IoT), smart sensors, and smart technologies to solve the vital issue of
the community regarding modern healthcare systems.
Keywords
Potential topics include but are not limited to the following:
• Advance biomedical engineering.
• The role of artificial intelligence in healthcare.
• AI for breast cancer detection.
• AI for ovarian cancer detection.
• AI for brain tumor detection.
• AI for COVID detection.
• Machine learning and Deep learning for healthcare.
• The role of artificial intelligence in medicine.
• The condition monitoring and fault diagnostics of the medical instruments.
• The reliability of the medical instruments.
• Modern health diagnostic techniques.
• Health prognostics.
• Signal & image processing for biomedical applications.
• Robotics for biomedical applications.
• Modern communication systems for healthcare.
• Smart machines for the smart healthcare.
• Smart decision making in the health sector.
• Wearable devices for physical activity monitoring
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