Connected Diagnoses

IoT, Healthcare, and Digital Forensics
Erscheinungsjahr 2026
ISBN: 978-0-443-38299-4
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

Connected Diagnoses: IoT, Healthcare, and Digital Forensics investigates the complex intersection of IoT, healthcare, and digital forensics. The book explores the intricate relationships between these fields, with a focus on cybersecurity, patient data ethics, and challenges in IoT investigations. It advances knowledge on leveraging IoT securely to enhance patient care and digital forensic analysis, providing significant insights from experts along with practical guidance for those operating at the crossroads of these critical disciplines. The book helps professionals grasp, adapt to, and capitalize on the interconnected nature of emerging technologies to ensure ethics, security, and safety.

Users will find this to be a comprehensive resource that benefits researchers and practitioners who seek to understand the convergence of medical technology, interconnected devices, and digital forensics.

Autoren/Hrsg.

Kaushik, Keshav

Chaudhary, Aryan

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie

Inhaltsverzeichnis

1. Security Measures in IoT Healthcare Devices
2. The Role of AI in Digital Forensic Analysis of Healthcare Data
3. Telemedicine and IoT: Enhancing Remote Patient Care
4. Challenges and Solutions in Implementing IoT in Rural Healthcare
5. IoT and Precision Medicine: Tailoring Treatments to Individual Patients
6. Digital Forensic Challenges in IoT-enabled Drug Delivery Systems
7. Legal Frameworks for IoT Data Privacy in Healthcare
8. The Intersection of IoT and Public Health Surveillance
9. Ethical Considerations in Using Wearable Devices for Health Monitoring
10. Digital Forensic Challenges in IoT-enabled Emergency Response Systems

Über Autor(innen)

Chaudhary, Aryan
Aryan Chaudhary, the Chief Scientific Advisor at BioTech Sphere Research, India, is an eminent figure in the healthcare and technology landscape, renowned for his groundbreaking contributions and innovative leadership. Formerly the Research Head at Nijji HealthCare Pvt Ltd, he has showcased unparalleled expertise in harnessing revolutionary technologies, including artificial intelligence, deep learning, IoT, cognitive technology, and blockchain, to reshape the healthcare industry. With a relentless commitment to excellence, he has left an indelible mark as a thought leader. His extensive body of work includes influential academic papers on public health and digital health, published in prestigious international journals. A focal point of his research lies in the integration of IoT and sensor technology for efficient data collection through one-time and ambulatory monitoring. A distinguished keynote speaker at numerous international and national conferences, He serves as a series editor of a CRC book series and as the editor of several books on biomedical science. His dedication to advancing scientific knowledge is further evident as a guest editor for special issues in renowned journals. Notably, he is currently serving as a guest editor for a special issue in the esteemed journal, EAI Endorsed Transactions on AI and Robotics, and has joined the editorial board of Biomedical Science and Clinical Research (BSCR). Recognized for his exceptional contributions, He has received prestigious accolades such as the "Most Inspiring Young Leader in Healthtech Space 2022" by Business Connect. His influence extends to senior memberships in various international science associations, showcasing his impact in the field. Recently, he has been appointed as the Chair for an ACM professional chapter and nominated as a member of the ACM U.S. Technology Policy Committee (USTPC) in the AI & Algorithms division.

Kaushik, Keshav
Prof. Keshav Kaushik is an Associate Professor in the Sharda University, India. His research interests span cybersecurity, cloud computing, and intelligent systems, with a strong publication record across Scopus-indexed journals and IEEE proceedings. He has contributed to multiple international research collaborations and edited volumes, and serves as a peer reviewer for leading journals in information security and computing systems. Prof. Kaushik is an active contributor to academic policy, curriculum innovation, and faculty training across Indian universities. He frequently mentors early-career researchers and contributes to institutional research capacity building in edge intelligence and secure cloud services.