IJCAS

 

In recent years, the healthcare has witnessed significant technological advancements, leading to the emergence of healthcare intelligent control systems. These systems use artificial intelligence (AI), machine learning (ML), and big data analysis to automate and optimize various healthcare processes. According to statistics, AI in the healthcare is growing at a rate of 48% annually (from 2017 to 2023). Healthcare intelligent control systems have the potential to revolutionize healthcare services, enhance patient prognosis, and improve operational efficiency.

 

Healthcare intelligent control systems have become essential in healthcare due to their ability to enhance patient care, improve operational efficiency, and ensure patient safety. These systems analyze patient data in real-time, enabling healthcare providers to make accurate and timely diagnoses. Additionally, they remotely monitor patients, provide ongoing care, and detect potential health issues early. The automation of routine tasks in healthcare intelligent control systems, such as appointment scheduling and data input, frees up time for healthcare professionals to perform more critical tasks, enabling proactive decision-making and resource planning. Furthermore, these systems can identify and prevent drug errors by cross-referencing patient data, drug interactions, and allergic reactions. In summary, healthcare intelligent control systems can improve the quality of medical care, reduce the risk of errors and treatment delays, and enhance the treatment effectiveness and satisfaction of patients.

 

This special issue aims to explore the trends, designs, and applications of healthcare intelligent control systems, in order to promote the intelligent development of the healthcare field. The healthcare intelligent control system combines artificial intelligence and control technology, and can play an important role in medical robots, medical equipment, and medical processes. This special issue welcomes the latest research results and application cases on healthcare intelligent control systems, including but not limited to the following topics:

 

a) Intelligent control and operation of medical robots

b) Automation control and optimization of medical equipment

c) Intelligent management and optimization of medical processes

d) Intelligent analysis and decision support of medical data

e) Wearable health technology and remote monitoring

f) Remote healthcare and virtual healthcare

g) Security and reliability of healthcare intelligent control systems

h) Human-machine interaction and user experience of healthcare intelligent control systems

i) Real time monitoring and feedback control of healthcare intelligent control systems

j) The application of healthcare intelligent control systems in surgery, rehabilitation, and diagnosis

 

Manuscript submission deadline: November 15, 2024  February 15, 2025

Authors notification: February 15, 2025  May 15, 2025

Revised papers due: May 15, 2025  August 15, 2025

Final notification: July 15, 2025 September 15, 2025

 

 

Prof. Jiachen Yang 

Tianjin University, China

E-mail: yangjiachen@tju.edu.cn

 

Prof. Qinggang Meng

Loughborough University, UK

E-mail: Q.Meng@lboro.ac.uk

 

Prof. Muhammad Khurram Khan

King Saud University, Saudi Arabia

E-mail: mkhurram@ksu.edu.sa

 

Prof. Houbing Herbert Song

University of Maryland, Baltimore County (UMBC), USA

E-mail: h.song@ieee.org