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AI for Biomedical Research Volume 1: From Idea to Analysis.
・ISBN 978-1-041-32339-6 paper GB£ 55.99
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お気に入り
★★★
| 著者・編者 | Klote, Molly, |
|---|---|
| シリーズ | (AI for Everything) |
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2026 |
| ページ数 | 264 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-70744＞ |
解説
Artificial intelligence is transforming every aspect of biomedical research practice. Researchers face a fragmented landscape of tools, evolving ethical requirements, emerging regulations, and rapidly shifting best practices. The first of two volumes, this book provides a comprehensive treatment of artificial intelligence across the complete research lifecycle, from initial ideation through analysis, quality assurance, dissemination, and long-term impact.
Key Features
- The only resource covering AI applications across the entire research journey, from initial idea through long-term impact.
- Systematically applies four major AI governance frameworks (RUAIH, FUTURE-AI, NIST AI RMF, and GMLP) throughout both volumes, showing researchers how to operationalize abstract principles in daily practice.
- Includes detailed analysis of the EU AI Act implementation timeline (February 2025 through August 2027) with specific guidance for research applications. Helps researchers and institutions understand high-risk classifications, research exemptions, and compliance strategies before requirements take effect.
- Moves beyond hype and fear to deliver a balanced, practical approach to human-AI collaboration. Each chapter includes "Capabilities and Limitations" analysis, ethical considerations, and implementation strategies that acknowledge both AI's transformative potential and its persistent limitations.
- The book will feature concrete examples demonstrating implementation principles in practice. Each chapter concludes with practical implementation strategies, reflection questions, and guidance applicable to institutions of varying sizes and resources.
- Volume 1 explores how AI can improve essential research activities, including designing studies, securing funding, navigating compliance and ethics reviews, recruiting participants, managing operations, collecting data, and analyzing results.
- Volume 2 continues the exploration of quality assurance, dissemination, peer review, impact, and the necessary institutional changes to responsibly implement AI capabilities.