Artificial Intelligence in Medical Diagnostics

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.

• 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.