Teil der Reihe: Medicine (R0)
Next-Gen Healthcare
Inhaltsangabe
Chapter 1 Adversarial Threats in Healthcare: A Comprehensive Analysis of Vulnerabilities, Defense Mechanisms, and Recent Research.- Chapter 2 Masked Autoencoder-Based Domain Adaptation for Cross-Population Breast-Lesion Classification in Mammograms.- Chapter 3 Optimized Block-Wise Fine-Tuning of VGG Models for Accurate and Explainable Detection of Chest Infectious Diseases Using Chest X Rays.- Chapter 4 Quantum Neural Network for Robust Image Classification: Applications to Medical and Benchmark Datasets.- Chapter 5 Explainable Machine Learning Approaches for Cardiovascular Disease Detection: A Comparative Study on the UCI Heart Disease Dataset.- Chapter 6 Large Language Models (LLMs) in Medical Error Detection and Correction: A Comprehensive Review.- Chapter 7 Data Privacy and Security in Large Language Models for Medical Fields.- Chapter 8 Advancing Early Alzheimer's Diagnosis with Deep Learning on MRI Data.- Chapter 9 Predictive Models for Early Detection and Prognosis of Dementia using Artificial Intelligence and Machine Learning.- Chapter 10 Predicting Drug Response in Diffuse Large B-Cell Lymphoma Patients Using Machine Learning Models.- Chapter 11 Guideline-Concordant Two-Stage AI for Diabetes Severity Stratification and Pharmacotherapy Recommendation.- Chapter 12 MOBPITL: Enhancing Diabetic Retinopathy Detection via PiTMobileNetV2 Fusion and Lamb Optimization.- Chapter 13 A Comprehensive Approach to Skin Lesion Classification using Machine and Deep Learning.- Chapter 14 Next-Gen Diagnostics: Utilizing AI Classification Algorithms for Enhanced Obesity Detection and Intervention.- Chapter 15 Using Explainable AI for Assessment of Depression: A Systematic Literature Review.
Produktdetails
- Erscheinungsdatum: 20.01.2026
- Autor/Autorin: Nour Eldeen M. Khalifa
- Reihe: Medicine (R0)
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 49.7 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 464 Seiten
- ISBN: 9783032072672
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
Integrates AI innovation with ethical and safety considerations in healthcare Introduces emerging topics like quantum neural networks for medical AI Emphasizes explainable AI to ensure trust in clinical applications Structured to move from safety, to innovation, to real-world impact
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