Computational Health Informatics for Biomedical Applications

The recent explosion of technology in healthcare has rapidly changed the sector, with technologies such as artificial intelligence and machine learning being used to tackle the need for remote healthcare systems. This new volume explores the many important smart technologies that can make healthcare delivery and monitoring faster, more efficient, and less invasive. It provides a solid framework to give medical gearheads information on the innovative applications of computational mechanisms for improving and expediting patient-friendly automation in healthcare.

Format: Hardback
Length: 334 pages
Publication date: 30 June 2023
Publisher: Apple Academic Press Inc.

The recent surge in technology within the healthcare industry has brought about a transformative shift, revolutionizing the sector. Technologies like artificial intelligence (AI) and machine learning, coupled with the integration of the Internet of Medical Things (IoMT), have emerged to address the growing demand for remote healthcare systems, enhancing their sustainability in a self-sufficient manner. This comprehensive new volume delves into a multitude of cutting-edge smart technologies that have the potential to revolutionize healthcare delivery and monitoring. It examines computational strategies employed in the development of biomedical applications utilizing AI, machine learning, signal analysis, computer-aided design, robotics, and automation, biomedical imaging, telemedicine, and other emerging technologies. The book serves as a robust foundation, providing valuable insights to the modern cohort of medical professionals on the innovative applications of computational mechanisms for enhancing and expediting patient-friendly automation in healthcare.

The integration of the Internet of Medical Things (IoMT) has been a game-changer in healthcare, enabling real-time monitoring and remote management of patients. This technology allows healthcare providers to collect and analyze patient data, providing personalized care and improving patient outcomes. IoMT devices, such as wearable sensors, smartwatches, and remote monitoring systems, provide valuable insights into patient health and can alert healthcare providers to potential health issues before they become serious.

Artificial intelligence (AI) is another technology that has significant implications for healthcare. AI algorithms can analyze large amounts of data and identify patterns that human analysts may miss. This technology can be used to diagnose diseases, predict patient outcomes, and develop personalized treatment plans. AI-powered medical devices, such as robotic surgery systems and diagnostic imaging tools, can also improve efficiency and accuracy in healthcare delivery.

Machine learning is another technology that is transforming healthcare. Machine learning algorithms can learn from data and improve their performance over time. This technology can be used to analyze medical images, identify cancer cells, and predict patient outcomes. Machine learning-powered medical devices, such as drug delivery systems and diagnostic tools, can also improve efficiency and accuracy in healthcare delivery.

The integration of these technologies has the potential to improve healthcare delivery and monitoring in many ways. For example, AI-powered medical devices can provide real-time feedback and assistance to healthcare providers, reducing the risk of errors and improving patient outcomes. Machine learning-powered medical devices can also personalize treatment plans and provide more accurate diagnoses.

However, there are also challenges associated with the integration of these technologies. For example, there are concerns about the privacy and security of patient data, and there is a need for healthcare providers to be trained on how to use these technologies effectively. There is also a need for regulatory frameworks to ensure that these technologies are used in a safe and ethical manner.

In conclusion, the recent explosion of technology in healthcare has brought about a transformative shift, revolutionizing the sector. Technologies such as AI, machine learning, and the integration of the Internet of Medical Things have the potential to improve healthcare delivery and monitoring in many ways. However, there are also challenges associated with the integration of these technologies, and there is a need for regulatory frameworks to ensure that these technologies are used in a safe and ethical manner. As technology continues to evolve, it will be exciting to see how it will continue to impact healthcare and improve patient outcomes.

Weight: 830g
Dimension: 229 x 152 (mm)
ISBN-13: 9781774912539