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4.0 MB
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C512C70E3B4C864A11AD228C44FC01C395408C36
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April 17, 2026, 10:57 p.m.
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(Last updated: April 17, 2026, 10:58 p.m.)
| File | Size |
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| Hirosawa T. Artificial Intelligence in Medical Diagnostics 2025.pdf | 4.0 MB |
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SOURCE: Hirosawa T. Artificial Intelligence in Medical Diagnostics 2025
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COVER
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MEDIAINFO
Textbook in PDF format This book provides a comprehensive introduction to the role of artificial intelligence (AI) in medical diagnostics, specifically targeting medical professionals who are unfamiliar with digital health and AI. It also aims to bridge the gap for AI developers who wish to deepen their understanding of clinical medicine. By examining how AI can improve diagnostic accuracy, reduce human error, and facilitate personalized medicine, this book is an indispensable resource for those seeking to harness the power of AI in healthcare. The chapters cover a range of critical topics, including the historical evolution of diagnostic techniques, ethical and legal considerations in AI diagnostics, and the potential of AI to transform clinical decision support systems. Readers will gain insights into core AI concepts such as machine learning, overfitting, and quantification, which are essential for refining diagnostic processes. The book also explores into the limitations and risks associated with AI, such as data bias and transparency issues, ensuring a well-rounded understanding of the challenges and opportunities in this field
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