Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services

This book showcases the potential of AI and soft computing in healthcare by combining deep learning, robotics, machine learning, and other advanced technologies to create smart personalized healthcare services. It offers practical applications for enhanced data sharing, remote health monitoring, tele-rehabilitation, disease identification, and more.

Format: Hardback
Length: 466 pages
Publication date: 02 January 2024
Publisher: Apple Academic Press Inc.

This comprehensive volume showcases the remarkable fusion of artificial intelligence and soft computing, offering immense potential for the development of cutting-edge personalized healthcare services. The book presents a diverse array of applications that harness the power of AI and computer techniques, including deep learning, robotics, machine learning, blockchain, emerging cloud, edge computing, Practical Byzantine Fault Tolerance consensus, CNN architecture, Splunk, genetic algorithms (GA), DurBhashan, and numerous other innovative technologies. These cutting-edge tools are employed in healthcare to facilitate enhanced data sharing, remote health monitoring, tele-rehabilitation, connecting rural populations with healthcare services, identifying diseases and health issues, automating medical diagnosis, analyzing information in surgical videos, ensuring timely communication and transportation during health disasters and emergencies, optimizing expenditures, and more.

The integration of artificial intelligence and soft computing in healthcare has the potential to revolutionize the way we deliver medical care. By leveraging advanced technologies such as deep learning, robotics, machine learning, blockchain, and cloud computing, healthcare providers can enhance data sharing, remote health monitoring, tele-rehabilitation, and disease identification. This can lead to more accurate diagnoses, personalized treatment plans, and improved patient outcomes.

One of the key applications of AI and soft computing in healthcare is remote health monitoring. With the help of wearable devices and AI algorithms, healthcare providers can monitor patients' vital signs, track their physical activity, and analyze their health data in real-time. This allows for early detection of health issues and enables healthcare providers to intervene promptly, reducing the risk of complications and hospitalization.

Tele-rehabilitation is another area where AI and soft computing are making significant strides. By leveraging virtual reality and other immersive technologies, healthcare providers can provide patients with personalized rehabilitation programs that are tailored to their specific needs. This can help patients recover from injuries or illnesses more quickly and effectively, reducing the need for physical therapy and improving their quality of life.

Blockchain technology is also being used in healthcare to enhance data security and privacy. By using blockchain, healthcare providers can create secure and transparent databases that store patient information, medical records, and other sensitive data. This can help prevent data breaches, protect patient privacy, and ensure that healthcare providers have access to the most up-to-date and accurate information.

In addition to these applications, AI and soft computing are also being used in healthcare to optimize expenditures and improve efficiency. By analyzing large amounts of data and using machine learning algorithms, healthcare providers can identify patterns and trends that can help them make more informed decisions about resource allocation and patient care. This can lead to cost savings and improved patient outcomes.

However, there are also challenges associated with the integration of AI and soft computing in healthcare. One of the biggest challenges is the need for robust data infrastructure and skilled healthcare professionals who can effectively use these technologies. Additionally, there are concerns about the ethical implications of using AI and soft computing in healthcare, particularly in the areas of privacy and surveillance.

To address these challenges, healthcare providers and researchers are working to develop new technologies and protocols that can enhance the safety and effectiveness of AI and soft computing in healthcare. This includes developing more accurate and reliable AI algorithms, improving data infrastructure, and developing ethical guidelines and regulations for the use of these technologies.

In conclusion, the integration of artificial intelligence and soft computing in healthcare has the potential to transform the way we deliver medical care. By leveraging advanced technologies such as deep learning, robotics, machine learning, blockchain, and cloud computing, healthcare providers can enhance data sharing, remote health monitoring, tele-rehabilitation, and disease identification. This can lead to more accurate diagnoses, personalized treatment plans, and improved patient outcomes. However, there are also challenges associated with the integration of AI and soft computing in healthcare, and it is important to address these challenges through the development of new technologies and protocols. By working together, we can create a healthcare system that is safe, effective, and equitable for all patients.

Weight: 1065g
Dimension: 234 x 156 (mm)
ISBN-13: 9781774913383