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books
| book details |
AI for Medical Image Analysis: Reconciling Innovation and Ethical Considerations
Edited by Najib Ben Aoun, Edited by Sadique Ahmad, Edited by Mohamed Hammad
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normal price: R 7 420.95
Price: R 7 049.95
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| book description |
The way doctors identify, treat, and manage illnesses has been completely transformed by the introduction of artificial intelligence (AI) into healthcare. The application of image processing and computer vision technologies is one of the most impactful advancements, which has boosted the accuracy and effectiveness of medical image analysis, enhanced treatment planning and enabled more personalized care. With the use of these technologies, healthcare professionals may now ""see beyond"" the limits of conventional imaging techniques, gaining deeper understanding and more thorough analyses—both essential for efficient patient care. However, applying AI techniques for medical image analysis has to be conducted while upholding the ethical considerations to ensure the technology benefits patients and healthcare providers while minimizing potential risks. In fact, it is essential to establish a thorough framework that incorporates stringent validation on diverse and representative datasets to mitigate bias and guarantee accuracy across different populations. AI systems must exhibit transparency and explainability, enabling healthcare professionals to comprehend and trust their outputs, while accountability measures distinctly delineate responsibility for AI-generated judgments. In addition, AI systems have to support, not replace, the clinicians, guaranteeing that they continue to play a crucial role in decision-making. The development and deployment of AI-based medica image analysis systems have to be guided by ethical oversight committees to address any emerging issues. This book, ""AI for Medical Image Analysis: reconciling Innovation and ethical considerations,"" delves into the use of AI in medical image analysis while adhering to ethical considerations. It will cover the technological advancements, applications, strategies and ethical considerations around the use of AI in healthcare imaging. It presents a holistic perspective on how AI-driven computer vision and image processing are reshaping the healthcare landscape and expanding the realm of what is conceivable for medical diagnostics and treatment. This book will:    Highlight the efficiency of AI for the medical image analysis and tumor segmentation, including machine learning and deep learning models.      Include case studies across many areas of AI in medical imaging data.      Investigate the ethical, regulatory and social considerations of AI in medical image analysis Present the current challenges and futures research directions.
| product details |
Normally shipped |
Publisher | Springer Nature Switzerland AG
Published date | 29 Dec 2025
Language |
Format | Hardback
Pages | 355
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0320-2962-1
Readership Age |
BISAC | computers / artificial intelligence
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Carlo Rovelli
Paperback / softback
208 pages
was: R 295.95
now: R 265.95
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Carlo Rovelli
Paperback / softback
224 pages
was: R 295.95
now: R 265.95
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Originally published in Italian: L'ordine del tempo (Milan: Adelphi Edizioni, 2017).
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