The Recent Developments in Biomedical Research for Improving Healthcare: A General Bibliometric Study and Thematic Investigation

Introduction

The concept of digital health is the adoption of information and communications tools for the purpose of managing illnesses and reducing health risks and promoting wellness in medicine and health professions. Digital health spans an extensive range of categories, including mobile health, telehealth, health information technology, wearables and telemedicine. Technologies for digital health include hardware computing boards, internet connectivity, software, and sensing devices for fitness care. Health revolution as well as digital technologies is being harnessed by WHO to accelerate global health and well-being. As digital technology continues to grow exponentially, we are moving toward a future where entire things and people are connected all the time, or The Infinite Network (TIN) (Balram et al., 2016). The artificial intelligence (AI) plays a vital role in improving the functionality and accuracy of Internet of Medical Things (IoMT) devices. A discussion of the role of AI in progressive robotic surgeries in recent times is also presented in Manickam et al. (2022). In biomedical engineering and healthcare sector, Optics and VLSI applications devices such as transistor based biosensors, optic biosensors and unconventional optic materials are extensively used as discussed in Kumar et al. (2023). Currently, smart technologies such as machine learning, artificial intelligence, and internet of things are displaying a significant role in the biomedical and healthcare industries. In Zaki et al. (2019), a conversational healthcare system is developed to offer proactive healthcare using an automated self-learning system. In association with no contact monitoring device, this system includes a vision-based instantaneous monitoring of vital signs that allows patients to observe their oxygen level, heartbeat, and breathing rate in real-time. Various health benefits have been derived from the progression of biomedical imaging procedures, sensing devices, and machine learning (ML) in current years as suggested in Zamzami et al. (2022). The latest technology and advances in big data analytics for healthcare are discussed, including artificial intelligence, internet of things, cloud computing and innovative data handling is given in Wang and Alexander (2020).

Digital devices have the capacity to enhance our ability to diagnose appropriately, deal with sicknesses and to decorate the shipping of healthcare for man or woman patients, as well as empowering sufferers to have extra manipulate over, and make higher-informed selections approximately, their health (Awad et al., 2021). The concept additionally gives several opportunities to facilitate prevention, early prognosis of lifestyles-threatening illnesses, and supervision of chronic situations outside of doors of old health care settings. Pharma 4.0 that's a structure for adapting digital schemes to the precise frameworks of pharmaceutical production is discussed in Ashish et al. (2023). A platform based on wearable devices to track users' health related information remotely is being developed along with an expansion of the industrial Internet of Things (IIoT) (Bi et al., 2021).

3D Bioprinting (three-dimensional printing) is considered the technology likely to lead to medical revolutions and solve complex medical issues (Mani et al., 2022). Through 3D bioprinting, researchers can produce artificial organs that replace damaged organs completely, allowing for faster translational research (Tasnim et al., 2018). A number of applications have been developed using 3D bioprinting, including cell engineering, disease research, and drug development (An et al., 2021). Additive manufacturing, also called 3D printing, was proposed by engineer Charles Hull in the early 1980s. Over the past few years, 3D printing has been applied to health care under regulatory guidance. The process of printing 3D biomolecules or cells on a substrate allows the cells to bind together and form structures in 3D (Ghilan et al., 2020). The 3D printer, which is often used in tissue engineering, allows complex three-dimensional constructs to be created from biocompatible materials and cells (Ghilan et al., 2020). Bioprinting makes it possible to fabricate highly mimicked tissues and organs (Yakimova et al., 2020). Tissue engineering has become more important due to global organ shortages, particularly the development of microenvironments for regeneration of skin, cartilage, bones, ligaments, and cardiac tissues (Zhang et al., 2019).