Practical Artificial Intelligence for Internet of Medical Things: Emerging Trends, Issues, and Challenges

The Internet of Healthcare Things (IoHT) is a rapidly growing field that focuses on developing innovative solutions for healthcare services. It discusses the application of artificial intelligence (AI) in healthcare, including experiments, core concepts, and cutting-edge themes. It also demonstrates new approaches to analyzing medical data and identifying ailments using AI to improve the overall quality of life.

Format: Hardback
Length: 324 pages
Publication date: 28 February 2023
Publisher: Taylor & Francis Ltd

The Internet of Healthcare Things (IoHT) is a rapidly evolving field that focuses on the integration of medical devices, sensors, and intelligent systems to improve healthcare services and enhance patient outcomes. This innovative approach involves the use of cutting-edge technologies such as artificial intelligence (AI), machine learning, and the Internet of Things (IoT) to facilitate seamless communication, data exchange, and remote monitoring of patients.

One of the key applications of AI in the IoHT is in the area of medical imaging. AI algorithms can analyze large amounts of medical data, including images, scans, and patient records, to identify patterns and abnormalities that may be difficult for human doctors to detect. This can lead to more accurate diagnoses, earlier intervention, and better treatment outcomes.

Another area where AI is making significant strides is in the field of drug discovery and development. AI algorithms can be used to analyze vast amounts of data from clinical trials, genetic studies, and other sources to identify potential new drug candidates and predict their efficacy and safety. This can significantly reduce the time and cost of drug development and improve the chances of successful treatments.

In addition to these applications, AI is also being used in the IoHT to develop personalized healthcare solutions. By analyzing patient data and genetic information, AI algorithms can create personalized treatment plans that are tailored to the individual patient's needs and medical history. This can lead to better treatment outcomes, reduced side effects, and improved patient satisfaction.

One of the core concepts of AI in the IoHT is machine learning. Machine learning algorithms can learn from data and improve their performance over time. This allows AI systems to adapt to changing conditions and improve their accuracy and efficiency.

Another important concept in AI is natural language processing (NLP). NLP algorithms can analyze and understand human language, including speech and text. This allows AI systems to interact with patients and healthcare professionals in a more natural and intuitive way, making it easier for patients to access healthcare services and for healthcare professionals to manage patient data.

Cutting-edge themes in AI in the IoHT include deep learning, which involves training neural networks with large amounts of data to achieve high levels of accuracy. Another theme is autonomous systems, which involve AI systems that can make decisions and perform tasks without human intervention.

In conclusion, the Internet of Healthcare Things is a rapidly evolving field that is being transformed by the application of AI and other cutting-edge technologies. AI is being used in a wide range of applications, from medical imaging to drug discovery and development, to personalized healthcare solutions. Machine learning, natural language processing, deep learning, and autonomous systems are some of the key concepts in AI that are being used in the IoHT to improve healthcare services and enhance patient outcomes.

Weight: 800g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032325279