Teil der Reihe: Medicine (R0)
Artificial Intelligence in Medical Diagnostics
Inhaltsangabe
Chapter 1 Introduction to Medical Diagnosis.- Chapter 2 Historical Evolution of Diagnostic Techniques.- Chapter 3 Overview of Diagnostic Clinical Decision Support Systems.- Chapter 4 Overview of AI and Generative AI.- Chapter 5 The Potential of AI in Diagnostics.- Chapter 6 Bridging the Gap: Collaboration Between AI Developers and Health Care Professionals.- Chapter 7 Useful Concept of AI in Diagnostics.- Chapter 8 Understanding Core AI Concepts: Machine Learning, Overfitting, and Quantification.- Chapter 9 Case Studies in AI-Enhanced Diagnostics.- Chapter 10 The Limitations of AI in Diagnostics.- Chapter 11 Ethical and Regulatory Considerations in AI Diagnostics.- Chapter 12 Interdisciplinary Collaboration for AI Development.- Chapter 13 Challenges and Solutions in AI Deployment.- Chapter 14 Training and Education for AI in Health Care.- Chapter 15 The Future Direction of AI in Diagnostics.
Produktdetails
- Erscheinungsdatum: 21.11.2025
- Autor/Autorin: Takanobu Hirosawa
- Reihe: Medicine (R0)
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 7.4 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 187 Seiten
- ISBN: 9789819543380
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
Provides a comprehensive introduction to AI in medical diagnostics, bridging gap between clinicians and AI developers Explore how AI can transform medical diagnostics by improving accuracy and reducing errors Covering key concepts like machine learning and quantification, readers will discover the role of AI in diagnostics
Herstellerinformationen
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