| Edition |
[First edition]. |
| Description |
1 online resource (250 pages) |
|
text txt rdacontent |
|
computer c rdamedia |
|
online resource cr rdacarrier |
| Bibliography |
Includes bibliographical references and index. |
| Summary |
Artificial intelligence Re-Engineering the Global Public Health Ecosystem: A Humanity Worth Saving provides a unifying strategic vision (and principles and examples operationalizing it) for the AI-accelerated effective, efficient, and equitable global public health of the future. Readers will find an ecosystem-based approach to understanding how AI is transforming and globalizing public health (and thus our underlying political economics, contextualized in our diverse cultures). The book integrates data architecture, digital health ecosystem, algorithms (including machine and deep learning and artificial general intelligence), quantum computing, global disease surveillance, adaptive value supply chains, demographic shifts, integral development, network science, health financing, healthcare system design, and multicultural global ethics underlying diverse political economic systems in a clear and concrete way forward together, within a divided but digitized and globalized world. Written by the world's first triple doctorate-trained physician-data scientist and AI ethicist, this book is a compelling and coherent guide to help empower and equip AI developers, students, practitioners, policymakers, researchers, and leaders in digital technology, public health, healthcare, health policy, public policy, political science, economics, and ethics to generate the healthcare solutions that will define humanity's next era. |
| Subject |
Medical informatics.
|
|
Artificial intelligence.
|
|
Artificial Intelligence |
|
Médecine -- Informatique.
|
|
Intelligence artificielle.
|
|
artificial intelligence.
|
| Other Form: |
Print version: 0443215979 9780443215971 (OCoLC)1406408708 |
| ISBN |
9780443215964 (electronic bk.) |
|
0443215960 (electronic bk.) |
|
9780443215971 |
|
0443215979 |
| Standard No. |
AU@ 000077285322 |
|
