Titlebook: Artificial Intelligence in Medicine; Niklas Lidströmer,Hutan Ashrafian Reference work 2022 Springer Nature Switzerland AG 2022 Deep Medici

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The New Frontiers of AI in Medicineanguage processing, and computer vision will be applied to enable earlier diagnosis, give patient control, and create entirely new categories of diagnostics. AI has the potential to not just digitalize what healthcare currently does but provide uniquely different ways forward that will revolutionize care delivery.

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Sensual Being & Tangible Touch,nly used in healthcare ethics: respect for autonomy, beneficence, nonmaleficence, and justice [1]. Careful consideration of the implications of these principles will allow us to maximize the benefits of AI in healthcare.

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Sensual Being & Tangible Touch,f privacy protection during training and algorithm inference. This chapter presents the core techniques of secure and private artificial intelligence, which can serve to enable the training of algorithms on larger datasets and their provision to more people under provable assurances of privacy and ownership protection.

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,Byron’s Fashionable Abstention,of artificial intelligence in medicine. Research on intelligence could lead to the creation of machines that can outdo the thinking capabilities of humans in fields like “calculating, decision making, memory, learning, creating and planning,” which are all areas that require expertise. There could also be concerning consequences.

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Basic Concepts of Artificial Intelligence: Primed for Cliniciansjor reference textbook on AI in medicine, of which this chapter is the base level introduction, is to become the greatest standard reference work. No area of medicine, preclinical or clinical, will escape the profound effects of AI: the whole healthcare domain will be reshaped thoroughly.

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Ethical Challenges of Integrating AI into Healthcarenly used in healthcare ethics: respect for autonomy, beneficence, nonmaleficence, and justice [1]. Careful consideration of the implications of these principles will allow us to maximize the benefits of AI in healthcare.

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Artificial Intelligence in Medicine and Privacy Preservationf privacy protection during training and algorithm inference. This chapter presents the core techniques of secure and private artificial intelligence, which can serve to enable the training of algorithms on larger datasets and their provision to more people under provable assurances of privacy and ownership protection.