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Easy-to-understand medical AI
Easy-to-understand medical AI
Description
index
Chapter 1.
How is medical AI created?


The Importance and Accumulation of Medical Big Data
The Importance of Input Data for AI
Evaluation of AI models
Clinical Application of AI Models

Chapter 2.
Advances in medical AI


The Excellence of AI in the Medical Field
Versatile AI
Disease prediction and management using AI
AI for Workers: A Revolution in Healthcare Without Time or Space Constraints
Ethical Issues in AI Decisions

Chapter 3.
Limitations of Medical AI


The illusion of AI accuracy
The Black Box Problem and Responsibility of Medical AI
AI is not equal.
Limitations of training data
AI weak in real-world situations

Chapter 4.
Proper use of medical AI


The Importance of AI Transparency and Ethical Use
Building a collaborative model between experts and AI
Security and Privacy of Personal Health Information
Verification of medical AI
Sustainable Medical AI Verification and Management
Medical AI Education and Training
GOODS SPECIFICS
- Date of issue: June 24, 2024
- Page count, weight, size: 198 pages | 277g | 152*223*20mm
- ISBN13: 9791187954361
- ISBN10: 1187954365

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