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Titlebook: Artificial Intelligence in Medicine; Niklas Lidströmer,Hutan Ashrafian Living reference work 20200th edition Deep Medicine.Machine Learni

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楼主: interminable
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AIM in Alternative Medicine,raditional Chinese medicine (TCM) now has been recognized as one of the main approaches of AM. As a clinical and evidence-driven discipline with long histories, AM is also heavily relied on in the utilization of big healthcare and therapeutic data for improving the capability of diagnosis and treatm
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,Ageing and Alzheimer’s Disease,earch studies from machine intelligence for computer vision, robotics, and natural language processing to more theoretical machine learning algorithm design and, recently, “deep learning” development. The application of AI in medical fields is booming, including the use of AI in data collection, ana
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Aim in Genomics,move into the realm of complex diseases, this approach fails to provide the insight needed to explain disease pathogenesis. Network medicine is a new paradigm that applies network science, artificial intelligence (in particular, machine learning and graph mining), and systems biology approaches to s
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AIM in Medical Informatics,ed to improve the medical analyses. We present the most common used algorithms in automatic medical diagnosis and the advance in explainability of machine learning-based systems to validate healthcare decision-making.
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,AIM and the Patient’s Perspective,y and ensure that a greater public good is achieved and distributed fairly across society. Furthermore, developers need to ensure data privacy by design and to make use of innovative technologies being specifically developed for this purpose. AI technologists need to enter a meaningful and open dial
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AIM and Evolutionary Theory,e genotypes to avoid the emergence of resistance. Advanced computational methods are also used in antimicrobial drug design and to anticipate outbreaks of infectious disease and the evolution of epidemics, such as the SARS-CoV-2 pandemic. In detailing these advances, we discuss illustrative examples
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