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

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Artificial Intelligence for Medical Diagnosisances in Artificial Intelligence have seen the emergence of diagnostic algorithms that perform as well as clinicians and can be applied at scale in clinical practice. This chapter presents a broad picture of the foundations, history, and the current state of AI in medical diagnosis. We provide an ov

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AIM and the History of Medicinephers have been influenced by some versions of the idea of other consciousnesses. Plato suggested that all material objects have absolute forms in his ., in the form of a series of conversations with his teacher, Socrates. This was clearly an attempt to discuss the first efforts in the representatio

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fic foundation.Contains original images and illustrations toThis book provides a structured and analytical guide to the use of artificial intelligence in medicine. Covering all areas within medicine, the chapters give a systemic review of the history, scientific foundations, present advances, potent

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Sensual Being & Tangible Touch,f the key mathematical foundations of deep learning to the medical imaging community. In particular, we will consider ties with traditional machine learning methods, unrolling techniques which connect deep learning to iterative algorithms, and geometric interpretations of modern deep networks.

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https://doi.org/10.1007/978-3-211-74500-7anguage 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.