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Artificial Intelligence in Medical Diagnostics
0 - Default Title
Description
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.
Designed for medical professionals and AI experts, this book fosters interdisciplinary collaboration, paving the way for a future where hybrid intelligence—combining human and artificial intelligence—leads to more accurate, efficient, and patient-centered diagnostics. Through case studies and expert contributions, readers will discover practical solutions for AI deployment and training in healthcare settings. Whether you're a clinician looking to integrate AI into your practice or an AI developer seeking to understand clinical applications, this book equips you with the knowledge and tools to navigate the evolving landscape of medical diagnostics.
Product details
Number of Pages:
208
Release Date:
2025-11-22
Publication Date:
2025-11-22
Publisher:
Springer
Languages:
Original:
English
ISBN10:
9819543371
ISBN13:
9789819543373
GPSR Manufacturer Reference:
Weight:
519 g
Height:
160 cm
Width:
241 cm
Thickness:
17 cm
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