Verkauf durch Sack Fachmedien

M / Prakash / Elngar

Next-Generation Diagnostics

Bio-Intelligent AI for Imaging and Precision Medicine

Medium: Buch
ISBN: 978-1-041-30110-3
Verlag: Taylor & Francis Ltd
Erscheinungstermin: 30.11.2026
vorbestellbar, Erscheinungstermin ca. November 2026

The book discusses the transformative role of artificial intelligence in healthcare, with a focus on bio-AI applications that leverage machine learning, deep learning, and predictive modeling for diagnostics and precision medicine. The book will focus on data acquisition and preprocessing in clinical and biomedical contexts, machine learning techniques for healthcare classification and prediction, deep learning applications in medical imaging and genomics, predictive analytics for patient outcomes and risk assessment, hybrid models and ensemble learning for AI-driven decision support systems, and telemedicine applications in public health.

The book is primarily written for academics and researchers in AI, biomedical informatics, and healthcare technology, healthcare professionals seeking AI-driven diagnostic solutions, industry leaders in biotechnology and digital health, graduate and postgraduate students in computer science, biomedical engineering, healthcare informatics, and applied AI programs.


Produkteigenschaften


  • Artikelnummer: 9781041301103
  • Medium: Buch
  • ISBN: 978-1-041-30110-3
  • Verlag: Taylor & Francis Ltd
  • Erscheinungstermin: 30.11.2026
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2026
  • Produktform: Gebunden
  • Seiten: 504
  • Format (B x H): 156 x 234 mm
  • Ausgabetyp: Kein, Unbekannt

Themen


Autoren/Hrsg.

Herausgeber

Chapter 1: Survey Bio-Intelligence and AI in Healthcare
Chapter 2: Data Acquisition and Preprocessing in Clinical and Biomedical Contexts
Chapter 3: Machine Learning Techniques for Healthcare Classification and Prediction
Chapter 4: Deep Learning Applications in Medical Imaging and Genomics
Chapter 5: Predictive Analytics for Patient Outcomes and Risk Assessment
Chapter 6: Hybrid Models, Ensemble Learning, and AI-Driven Decision Support Systems
Chapter 7: Comparison analysis Telemedicine, and Public Health and conclusion