In the era of 'Algorithmic Medicine,' the integration of Artificial Intelligence (AI) in healthcare holds immense potential to address critical challenges faced by the industry. This textbook goes beyond theoretical discussions to outline practical steps for transitioning
In the era of 'Algorithmic Medicine,' the integration of Artificial Intelligence (AI) in healthcare holds immense potential to address critical challenges faced by the industry. This textbook goes beyond theoretical discussions to outline practical steps for transitioningHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Sandeep Reddy is an Artificial Intelligence (AI) in healthcare researcher based at the Deakin School of Medicine, as well as being the founder/chairman of Medi-AI, a healthcare-focused AI entity. He is also a certified health informatician and World Health Organization-recognised digital health expert. He has a medical and healthcare management background and has completed machine learning/health informatics training from various sources. He is currently engaged in research about the safety, quality and explainability of the application of AI in healthcare delivery, in addition to developing AI models to treat and manage chronic diseases. He has also authored several articles and books about the use of AI in medicine. Further, he has set up local and international forums to promote the use of AI in healthcare and sits on various international committees which focus on this issue.
Inhaltsangabe
1. An Introduction to Artificial Intelligence 2. Applications of AI in Healthcare 3. The Need for AI in Healthcare 4. Technical Issues in Implementing AI in Healthcare 5. Application of AI in Healthcare 6. Ethics, Regulation and Legal Issues of AI in Healthcare 7. Translational challenges of Implementing AI in Healthcare: Solutions and Opportunities 8. Translational Application of AI in Healthcare
1. An Introduction to Artificial Intelligence 2. Applications of AI in Healthcare 3. The Need for AI in Healthcare 4. Technical Issues in Implementing AI in Healthcare 5. Application of AI in Healthcare 6. Ethics, Regulation and Legal Issues of AI in Healthcare 7. Translational challenges of Implementing AI in Healthcare: Solutions and Opportunities 8. Translational Application of AI in Healthcare
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