Artificial Intelligence-Empowered Bio-medical Applications Challenges, Solutions and Development Guidelines /
The book delves into advancements in personalized medicine, highlighting the transition from generalized treatments to tailored strategies through AI and machine learning. It first emphasizes the role of biomarkers in training predictive models and neural networks, enhancing disease diagnosis and pa...
Saved in:
| Main Authors: | , , |
|---|---|
| 企業作者: | |
| 格式: | 電子 電子書 |
| 語言: | 英语 |
| 出版: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| 版: | 1st ed. 2025. |
| 叢編: | Learning and Analytics in Intelligent Systems,
49 |
| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/978-3-031-90174-4 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
書本目錄:
- Introduction to AI-empowered Medical Soft [1] ware: Recent Advances and Challen
- Personalized Nutrition Applications using Biomarkers and Machine Learning
- Blood Exam Classification for Predicting Defin [1] ing Factors in Metabolic Syndrome Diagnosis using Sup [1] port Vector Machine
- Extreme Value Analysis applied in Dietary Data
- Iterative Microservices Approach for Explain [1] able and Reliable AI in Medical Application
- Challenges in Regulating and Validating AI [1] Driven Healthcar
- Framework for AI Explainability Leveraging User Acceptance and Health Literacy Models.