Generative AI for Healthcare

Generative AI for Healthcare

Gokhul Srinivasan / Laks Sundararajan

54,97 €
IVA incluido
Disponible
Editorial:
BPB Publications
Año de edición:
2025
Materia
Inteligencia artificial
ISBN:
9789365890310
54,97 €
IVA incluido
Disponible

Selecciona una librería:

  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
  • Kálamo Books
  • Librería Perelló (Valencia)
  • Librería Elías (Asturias)
  • Donde los libros
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)

DESCRIPTION This book explores how generative AI is transforming the healthcare industry, enabling smarter decision-making, enhanced patient care, and improved operational efficiency. This book serves as your essential guide to understanding and applying these cutting-edge technologies, specifically designed for healthcare professionals seeking to navigate this evolving landscape. You will go through the core principles of generative AI, starting with foundational deep learning and neural network concepts and then progressing to practical applications for payers, providers, and health tech innovators. Readers will understand how payers can leverage AI, while providers will learn how AI can enhance medical imaging, generate synthetic patient data, and enable personalized treatment planning. Life sciences companies will discover AI’s role in accelerating drug discovery, powering diagnostics, and creating personalized health applications. This book addresses vital aspects of data management, including privacy and ethical considerations. Finally, you will look into future trends, such as AI-assisted surgery and personalized medicine, and learn the collaborative strategies necessary to integrate generative AI into modern healthcare.By the end of this book, you will have understood how generative AI functions and how it can be applied across the healthcare sector, empowering you to confidently contribute to and lead the next wave of innovation in patient care and medical technology.WHAT YOU WILL LEARN● Understand generative AI fundamentals and its role in healthcare.● Apply AI for fraud detection, risk assessment, and efficiency.● Leverage AI to enhance imaging, diagnostics, and patient care.● Navigate data challenges, compliance, and ethical AI concerns.● Implement AI strategies for payers, providers, and life sciences.● Explore future AI trends and innovations in healthcare. WHO THIS BOOK IS FORThis book is for healthcare professionals, technology leaders, and business executives looking to understand and implement generative AI in healthcare. A basic understanding of healthcare operations, data management, or AI concepts is helpful but not required.

Artículos relacionados

  • Artificial Cognition Systems
    ...
  • Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition
    Vijay Kumar Mago
    The need for intelligent machines in areas such as medical diagnostics, biometric security systems, and image processing motivates researchers to develop and explore new techniques, algorithms, and applications in this evolving field. Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies provides a common platform for researc...
  • Emerging Applications of Natural Language Processing
    Over the last few years, the area of Natural Language Processing has drastically grown in recognition, not only within the research and development community, but also with industry professionals. As NLP continues to be discussed and researched, certain areas continue to grow and mature. As a result, the need for advanced research and information is in high demand. Emerging App...
  • Androids, Cyborgs, and Robots in Contemporary Culture and Society
    Steven John Thompson
    Mankind’s dependence on artificial intelligence and robotics is increasing rapidly as technology becomes more advanced. Finding a way to seamlessly intertwine these two worlds will help boost productivity in society and aid in a variety of ways in modern civilization. Androids, Cyborgs, and Robots in Contemporary Culture and Society is an essential scholarly resource that delve...
  • Deep Learning Innovations and Their Convergence With Big Data
    The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest sc...
  • Computational Psychoanalysis and Formal Bi-Logic Frameworks
    Giuseppe Iurato
    Computational psychoanalysis is a new field stemming from Freudian psychoanalysis. The new area aims to understand the primary formal structures and running mechanisms of the unconscious while implementing them into computer sciences. Computational Psychoanalysis and Formal Bi-Logic Frameworks provides emerging information on this new field which uses psychoanalysis and the unc...