Medical LLMs and AI in Healthcare: Ethics, Trust, and Clinical Applications - Couverture souple

Couverture souple

ISBN 13 : 9798260021743

Editeur : Igi Global Scientific Publishing, 2026

Synopsis

The integration of medical large language models (LLMs) and AI in healthcare transforms how medical professionals diagnose conditions, manage patient care, and access clinical information. These advanced technologies may improve efficiency, enhance decision-making, and expand access to healthcare services through applications like virtual assistants, medical documentation, predictive analytics, and personalized treatment recommendations. However, the increasing use of AI in clinical settings also raises important concerns related to ethics, patient privacy, bias, accountability, and trust between healthcare providers and patients. Further examination may reveal the opportunities and challenges associated with AI-driven systems in medicine, emphasizing the need for responsible, transparent, and human-centered approaches to healthcare innovation. Medical LLMs and AI in Healthcare: Ethics, Trust, and Clinical Applications explores the application of medical LLMs and AI in healthcare to support clinical decision-making, patient care, medical documentation, and healthcare accessibility. It examines the ethical, legal, and social implications of AI in medicine, including issues of trust, bias, privacy, accountability, and the relationship between technology, healthcare professionals, and patients. This book covers topics such as medical technologies, radiology, and data science, and is a useful resource medical and healthcare professionals, engineers, academicians, researchers, and scientists.

A propos du livre

À propos des auteurs

Fernando Ortiz-Rodriguez is a Full Professor and Head of the Artificial Intelligence and Innovation Lab at Tamaulipas Autonomous University. He was the Executive Director at the International Institute of Studies (IIES). He created the First Business School in Tamaulipas, Mexico. He worked as the Information Technology Manager at Emerson Electric, where he developed more than 40 pieces of software, some of them used globally in Emerson, and he achieved technology convergence by implementing the first efforts on IoT and Industry 4.0. Fernando is a member of National Systems Researchers (SNI) Level 1 of the National Council of Science and Technology (CONACYT) and INDEX IT Advisor

Rajesh Kumar Dhanaraj is a distinguished Professor at Symbiosis International (Deemed University) in Pune, India. Prior to this, he served as a Professor at the School of Computing Science & Engineering at Galgotias University in Greater Noida, India. His exceptional academic and research contributions have placed him among the top 2% of scientists globally, an honor recognized by Elsevier and Stanford University. Dr. Dhanaraj completed his B.E. in Computer Science and Engineering from Anna University Chennai, followed by an M.Tech from Anna University Coimbatore. He earned his Ph.D. in Computer Science from Anna University, Chennai. His prolific career includes authoring and editing over 100 books on advanced technologies and holding 27 patents. He has published over 200 articles in esteemed journals and international conferences, including six papers in IEEE Transactions.

Firoz Khan is an academic and researcher with a distinguished Ph.D. in Computer Science from the British University in Dubai. He also holds a Master’s in Information Technology from the University of Southern Queensland (USQ) and a Master’s in Information, Network, and Computer Security from the New York Institute of Technology (NYIT). His research interests include IoT applications in agriculture, automotive cybersecurity, and the integration of AI with cybersecurity in healthcare. He is also exploring advanced topics such as precision farming techniques, privacy-preserving models, and liquid neural networks for time-series prediction in healthcare. As an educator, Firoz specializes in teaching IoT security, cybersecurity, and advanced networking. He emphasizes a hands-on, active learning approach to equip students with practical skills and foster innovation, preparing them for challenges in an ever-evolving technological landscape.

Détails de l'édition

• Éditeur: Igi Global Scientific Publishing
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798260021743
• Reliure: Broché
• Nombre de pages: 426
• Éditeur: Ortiz-Rodriguez Fernando, Kansal Mrignainy, Dhanaraj Rajesh Kumar, Khan Firoz
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne