Transforming Healthcare with the Internet of Things: A Comprehensive Review of Applications and Innovations | Chapter 2 | Engineering Research: Perspectives on Recent Advances Vol. 10

 

The rapid evolution of smart technologies and communication protocols has ushered in a transformative era for the Internet of Things (IoT), particularly within the healthcare sector. This chapter provides a comprehensive review of the key applications, enabling technologies, and emerging trends in IoT-driven healthcare systems. It outlines a standard model for integrating IoT into medical infrastructures, focusing on sensor-based monitoring, data acquisition, and predictive analytics using machine learning. The discussion explores the impact of IoT on clinical workflows, remote health tracking, chronic disease management, and patient engagement. Special emphasis is placed on network architectures, data transmission standards, and the role of Health Information Technology (HIT) in enhancing interoperability and system efficiency. By synthesising current literature and incorporating recent advancements, this chapter highlights both the opportunities and challenges in building scalable, secure, and intelligent healthcare ecosystems. It also presents new figures and use cases that demonstrate real-world deployments of IoT in medical settings, supporting the argument for broader adoption of IoT-enabled healthcare solutions.

 

 

Author(s) Details

Ragni Kumari
Department of Optometry, Uttar Pradesh University of Medical Sciences (UPUMS), Saifai, Etawah-206130, India.

 

Jagdish Singh
Department of Optometry, Uttar Pradesh University of Medical Sciences (UPUMS), Saifai, Etawah-206130, India.

 

Mayank Pal Singh
Department of Radiological and Imaging Technology, Uttar Pradesh University of Medical Sciences (UPUMS), Saifai, Etawah-206130, India.

 

Mayank Kumar
Department of Physiotherapy, Uttar Pradesh University of Medical Sciences (UPUMS), Saifai, Etawah-206130, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/erpra/v10/6039

The Impact of Chatbots and Virtual Assistants in Medical Education and Clinical Decision-Making | Chapter 10 | Medical Science: Recent Advances and Applications Vol. 3

The integration of chatbots and virtual assistants in medical education and clinical decision-making has revolutionised the healthcare landscape. These AI-driven tools enhance learning experiences by providing interactive, personalised education to medical students and professionals. In clinical settings, they support decision-making by offering real-time, evidence-based recommendations, reducing diagnostic errors, and improving workflow efficiency. This review explores the applications, benefits, and challenges of chatbots and virtual assistants in medical education and clinical decision-making. It also examines their potential to bridge knowledge gaps, improve patient outcomes, and augment healthcare delivery. While these technologies offer significant advantages, concerns related to data security, accuracy, and ethical implications must be addressed for their optimal implementation.

 

Author (s) Details

Bhadresh C Koladiya
Department of Biochemistry, GMERS Medical College, Porbandar, Gujarat, India.

 

Yukt Bhagiya
GMERS Medical College, Vadnagar, Gujarat, India.

 

Jisan Yunusbhai Jadav
Department of Physiology, P D U Medical College, Rajkot, Gujarat, India.

 

Prashant V Kariya
Department of Pediatrics, Kiran Medical College, Surat, Gujarat, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/msraa/v3/5383

AI-Powered Simulation and Virtual Reality in Medical Training: Current Trends and Future Prospects | Chapter 15 | Medical Science: Trends and Innovations Vol. 12

The integration of Artificial Intelligence (AI) and Virtual Reality (VR) in medical training has revolutionized the learning experience by providing immersive, interactive, and adaptive simulations. AI-powered VR platforms enable personalized training, real-time feedback, and risk-free environments for skill acquisition, making them valuable tools for medical education and surgical practice. This review explores the current advancements in AI-driven VR simulations, including their applications in clinical skills training, patient management, and surgical procedures. Additionally, the challenges associated with implementation, such as cost, accessibility, and ethical considerations, were analyzed. The future prospects of AI in medical training are also discussed, highlighting potential innovations such as haptic feedback integration, natural language processing for virtual patient interactions, and AI-driven assessment tools. AI-powered VR simulations are poised to bridge the gap between theoretical knowledge and practical expertise, transforming the future of medical education.

 

Author (s) Details

Nandini Srivastava
Department of Physiology, Maharshi Vashishtha Autonomous State Medical College, Basti, Uttar Pradesh, India.

 

Darshan Dipakbhai Shah
Department of Emergency Medicine, Pramukh Swami Medical College and Shree Krishna Hospital, Bhaikaka University, Karamsad, Gujarat, India.

 

Vijay Kumar Srivastava
Department of Orthopaedics and Traumatology, Divisional District Hospital, Azamgarh, Uttar Pradesh, India.

 

Sunil Chhajwani
Department of Emergency Medicine, Pramukh Swami Medical College and Shree Krishna Hospital, Bhaikaka University, Karamsad, Gujarat, India.

 

Jitendra Patel
Department of Physiology, GMERS Medical College, Vadnagar, Gujarat, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/msti/v12/4987