Generative AI in Healthcare

Transforming Diagnostics, Treatment, and Patient Outcomes

377 Seiten, Hardcover

Kurzbeschreibung des Verlags

This volume brings together cutting-edge research at the intersection of artificial intelligence, clinical care, and public health. While it highlights the impact of generative AI, including large language models, it also delves into broader challenges such as fairness, robustness, scalability, and explainability. 

Chapters explore: 

Applications of Generative AI in healthcare and medicine 

Strategies to reduce bias and improve equity in clinical AI 

Tools for making model predictions more explainable and accountable 

Approaches for real-world deployment at scale 

Human-centered and governance frameworks for responsible AI 

Rather than focusing on isolated use cases or technical performance alone, this book offers a systems-level perspective, bridging computational innovation with clinical and ethical relevance. 

Designed for researchers, healthcare professionals, and innovators, this collection provides critical insights for anyone aiming to responsibly develop or implement AI in health contexts. 

• Reihe: Studies in Computational Intelligence
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI)
• ISBN: 9783032119988
• Sprache: Englisch
• Erscheinungsdatum: 27.08.2026
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing
• Herausgegeben von: Arash Shaban-Nejad, Martin Michalowski, Simone Bianco