Artificial Intelligence for Medicine An Applied Reference for Methods and Applications
| ISBN | 9788131273609 |
| Published Year | 2025 |
| Publisher | Elsevier |
| Condition | New |
| Language | English |
| Edition | 1st |
| Binding | Paperback |
| Return Availability | Returnable upto 3days (*T&C applied) |
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Product Full Description
Artificial Intelligence for Medicine: An Applied Reference for Methods and Applications is a comprehensive guide that introduces readers to AI and machine learning algorithms specifically tailored for medical applications. The book explores how AI/ML technologies are revolutionizing healthcare fields such as cancer treatment, precision and personalized medicine, telemedicine, drug discovery, mental health, molecular diagnostics, and critical care.
Designed for a wide audience—academics, healthcare professionals, IT experts, educators, and students—it offers a balance of theoretical foundation and practical applications. It not only outlines methodologies and models but also focuses on how these can be applied to real-world medical challenges. The content is structured to suit both beginners and advanced readers, offering a layered understanding of concepts and implementations.
The book also addresses pressing ethical concerns surrounding AI in medicine and presents insights into the future direction of this rapidly evolving field. It acts as a go-to reference for anyone looking to develop, implement, or understand AI-driven healthcare solutions.
Key Features:
- Comprehensive AI Coverage in Medicine Covers essential AI and machine learning algorithms along with their practical medical implementations.
- Real-World Healthcare Applications Highlights usage in cancer, precision medicine, mental health, telemedicine, drug discovery, and more.
- Practical and Applied Approach Blends theory with hands-on applications, making it ideal for professionals and students alike.
- Tailored for All Expertise Levels Structured content that supports both beginners and experienced professionals in the field.
- Ethical and Future Considerations Discusses current ethical dilemmas and forecasts potential future developments in AI-driven medicine.
- Multidisciplinary Relevance Beneficial for IT professionals, healthcare providers, educators, and researchers in AI and medicine.
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