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\u003cp\u003e\u003ci\u003eArtificial Intelligence Medicine: Technical Basis and Clinical Applications\u003c/i\u003e presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. \u003c/p\u003e \u003cp\u003eThe integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. \u003c/p\u003e\u003cul\u003e\u003cli\u003eProvides history and overview of artificial intelligence, as narrated by pioneers in the field\u003c/li\u003e\u003cli\u003eDiscusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence\u003c/li\u003e\u003cli\u003eAddresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach\u003c/li\u003e\u003c/ul\u003e |
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