Artificial Intelligence Solutions for Health 4.0: Overcoming Challenges and Surveying Applications

Abstract

In recent years, the term Health 4.0 has appeared in health services and is related to the concept of Industry 4.0. The term Health 4.0 focuses on replacing traditional care in hospitals and medical clinics with home health services that are based on artificial intelligence techniques through the use of telemedicine applications that allow the monitoring of patients in a virtual environment. This term is utilized to represent digital change in the healthcare sector. Governments aim to develop the level of medical care in hospitals and clinics to ensure the provision of healthcare benefits at low costs and increase patient satisfaction. It has become vital for hospitals to grow their environment into digital environments in their services through the use of a set of computer programs based on artificial intelligence. Artificial intelligence techniques in Health 4.0 provide a set of procedures that benefit patients and healthcare workers, including early diagnosis, make inquiries into treatment, data analysis, reports on the patient's condition, and others. The primary purpose of this article is to determine the significance of Health 4.0 and AI techniques in healthcare by mentioning the most important benefits and weaknesses of using AI techniques in healthcare

Clinicodemographic Profile and Clinical Outcome of Children Presenting to Telemedicine Center at Institute of National Importance of India: A Prospective Observational Study

“…With further development of robust privacy policies, medicolegal guidelines, and the utilization of advanced technologies, along with proper training for providing care via telemedical platforms, it is unsurprising that telemedicine services may become one of the standard approaches to healthcare issues, alongside traditional in-person consultations [ 44 , 45 ]. The concept of telemedicine continues to evolve in the present era, and in the future, it will be essential to incorporate the concept of medicolegal implications to ensure the resilience and effectiveness of telemedicine services [ 46 , 47 ].…”

Cybersecurity for Sustainable Smart Healthcare: State of the Art, Taxonomy, Mechanisms, and Essential Roles

“…The healthcare sector has transformed from healthcare 1.0 to healthcare 5.0, with different technologies used in each stage. Healthcare 1.0 (predigital era) was established between 1970 and 1990, healthcare 2.0 (digitization era) was from 1991 to 2005, the healthcare 3.0 era was established between 2006 and 2015, the healthcare 4.0 era was established between 2016 and 2019, and the era of healthcare 5.0 was established between 2020 and the present [10][11][12].…”

“…Smart healthcare architecture involves integrating cutting-edge and intelligent technologies into the design and infrastructure of healthcare facilities to increase the overall efficiency, effectiveness, and quality of healthcare services. It consists of (1) a perception or sensor layer, (2) a network layer, (3) an edge computing layer, (4) a fog computing layer, (5) a gateway layer, (6) a cloud computing layer, (7) a blockchain layer, (8) a data analytics layer, (9) a security layer, (10) an application layer, and (11) a regulatory layer. These layers support various functions, such as gathering medical data from patients using sensors and wearable devices, protecting medical data, storing data, analyzing data, and visualizing data by patients and healthcare professionals [10][11][12].…”

“…It consists of (1) a perception or sensor layer, (2) a network layer, (3) an edge computing layer, (4) a fog computing layer, (5) a gateway layer, (6) a cloud computing layer, (7) a blockchain layer, (8) a data analytics layer, (9) a security layer, (10) an application layer, and (11) a regulatory layer. These layers support various functions, such as gathering medical data from patients using sensors and wearable devices, protecting medical data, storing data, analyzing data, and visualizing data by patients and healthcare professionals [10][11][12]. A wide range of emerging digital technologies, such as sensors and wearable technology, the internet of things (IoT), cloud computing, fog computing, edge computing, blockchain technology, drone technology, robotics, quantum computing, fifth-generation (5G) communication technology, three-dimensional (3D) printing and scanning, big data, nanotechnology, artificial intelligence, machine learning, deep learning, computer vision, tactile internet/haptics, virtual reality, augmented reality, and mixed reality, are used to successfully implement SHS [13][14][15][16].…”

“…A wide range of emerging digital technologies, such as sensors and wearable technology, the internet of things (IoT), cloud computing, fog computing, edge computing, blockchain technology, drone technology, robotics, quantum computing, fifth-generation (5G) communication technology, three-dimensional (3D) printing and scanning, big data, nanotechnology, artificial intelligence, machine learning, deep learning, computer vision, tactile internet/haptics, virtual reality, augmented reality, and mixed reality, are used to successfully implement SHS [13][14][15][16]. These technologies have revolutionized healthcare services by offering essential services such as (1) real-time continuous patient remote monitoring and tracking, (2) telemedicine, (3) ambient assisted living, (4) smart selfmanagement, (5) smart treatment reminders, compliance, and adherence, (6) personalized and connected healthcare, (7) disease diagnosis and treatment, (8) health management, (9) disease prevention and risk monitoring, (10) virtual assistants, (11) smart hospital management, (12) assisting drug research, (13) smart ambulances, (14) telesurgery, (15) virtual reality therapy, (16) predictive analytics, and (17) electronic health records [17][18][19]. The integration of smart technologies has revolutionized patient care and operational efficiency in the ever-evolving healthcare landscape.…”