Mastering AI for Healthcare
Mastering AI for Healthcare
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分類：英文書＞自然科普＞電腦資訊＞網路/網路安全追蹤? 追蹤分類後，您會在第一時間收到分類新品通知。
- 作者： Romita,Ghosh 追蹤 ? 追蹤作者後，您會在第一時間收到作者新書通知。
- 出版社： Orange Education Pvt Ltd 追蹤 ? 追蹤出版社後，您會在第一時間收到出版社新書通知。
- 出版日：2025/05/05
內容簡介
Harness AI-led Revolution to Deliver Smarter, Faster, and Better Healthcare. Book Description
Artificial Intelligence is rapidly becoming indispensable in modern healthcare-reshaping how we diagnose, treat, and deliver care. Mastering AI for Healthcare offers a clear, structured journey through this transformation, helping readers understand the critical role AI plays in improving clinical outcomes and operational efficiency. The book begins with foundational AI concepts tailored for healthcare professionals, establishing a solid base in machine learning, neural networks, and data science. It then guides readers through practical applications across the care continuum-exploring how predictive analytics can forecast disease risks, how AI powers telemedicine and remote monitoring systems, and how it enhances clinical decision-making through smarter, data-driven EHR systems. Each chapter builds with real-world examples, case studies, and implementation frameworks, offering clarity on emerging tools like computer vision for diagnostics, personalized treatment algorithms, and intelligent automation in hospital workflows. Whether you're a healthcare professional, researcher, or policymaker, this book provides the insights you need to stay ahead in a tech-driven world. Don't get left behind-embrace the tools shaping the future of medicine and lead the change with confidence. Table of Contents
1. Introducing AI in Healthcare
2. AI Fundamentals for Healthcare
3. Predictive Analysis in Healthcare
4. Artificial Intelligence in Telemedicine Remote Patient Monitoring
5. AI in Clinical Decision Support and Electronic Health Record
6. Imaging and Diagnosis Using AI
7. Challenges and Limitations of AI in Healthcare
8. Future of AI in Healthcare
Index
Artificial Intelligence is rapidly becoming indispensable in modern healthcare-reshaping how we diagnose, treat, and deliver care. Mastering AI for Healthcare offers a clear, structured journey through this transformation, helping readers understand the critical role AI plays in improving clinical outcomes and operational efficiency. The book begins with foundational AI concepts tailored for healthcare professionals, establishing a solid base in machine learning, neural networks, and data science. It then guides readers through practical applications across the care continuum-exploring how predictive analytics can forecast disease risks, how AI powers telemedicine and remote monitoring systems, and how it enhances clinical decision-making through smarter, data-driven EHR systems. Each chapter builds with real-world examples, case studies, and implementation frameworks, offering clarity on emerging tools like computer vision for diagnostics, personalized treatment algorithms, and intelligent automation in hospital workflows. Whether you're a healthcare professional, researcher, or policymaker, this book provides the insights you need to stay ahead in a tech-driven world. Don't get left behind-embrace the tools shaping the future of medicine and lead the change with confidence. Table of Contents
1. Introducing AI in Healthcare
2. AI Fundamentals for Healthcare
3. Predictive Analysis in Healthcare
4. Artificial Intelligence in Telemedicine Remote Patient Monitoring
5. AI in Clinical Decision Support and Electronic Health Record
6. Imaging and Diagnosis Using AI
7. Challenges and Limitations of AI in Healthcare
8. Future of AI in Healthcare
Index
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