Medical LLMs for Clinical Safety Assessment - Hardcover

Hardcover

ISBN 13: 9798337378626

Verlag: IGI GLOBAL SCIENTIFIC PUBLISHING, 2026

Inhaltsangabe

Large Language Models (LLMs) are increasingly being explored in clinical settings, where they promise to support tasks such as documentation, decision support, and patient communication. However, the integration of medical LLMs introduces significant clinical safety considerations, as errors, or inappropriate recommendations can have real-world consequences for patient care. Clinical safety assessment plays a critical role in evaluating whether these systems perform reliably and within acceptable risk boundaries across diverse clinical scenarios. This assessment requires different methods to test accuracy, bias, and failure modes, as well as alignment with clinical standards, regulatory expectations, and ethical principles, to ensure that medical LLMs augment. Medical LLMs for Clinical Safety Assessment provides a comprehensive overview of clinical safety evaluation frameworks for medical LLMs. It connects AI research with medical practice by providing evidence-based models. Covering topics such as LLMS, medical technologies, and clinical assessment, this book is an excellent resource for researchers, machine learning engineers, data scientists, health leaders, policy makers, academicians, and graduate students.

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Über die Autorinnen und Autoren

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

Mrignainy Kansal is currently pursuing her PhD in Computer Science and Engineering from Netaji Subhas University of Technology (NSUT), New Delhi. Alongside her studies, she holds the position of an Assistant Professor at Ajay Kumar Garg Engineering College, Ghaziabad. She completed her BTech Degree in Information Technology from AKTU and further pursued her MTech in Information Technology from Guru Gobind Singh Indraprastha University, Delhi. She has a good record of publications at various International Conferences. Additionally, she has qualified GATE-2016 and GATE-2023. Her expertise lies in diverse areas such as Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and Software Engineering.

Details zur Ausgabe

• Verlag: IGI GLOBAL SCIENTIFIC PUBLISHING
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 13: 9798337378626
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 516
• Herausgeber: Ortiz-Rodriguez Fernando, Kansal Mrignainy, Kumar Dhanaraj Rajesh
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Deutschland