Current and future application of artificial intelligence in clinical medicine /

Current and future application of artificial intelligence in clinical medicine /

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Bibliographic Details
Imprint:	Sharjah : Bentham Science Publishers, [2021]
Description:	1 online resource
Language:	English
Subject:	Artificial intelligence -- Medical applications. Artificial intelligence -- Medical applications.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13458011

Hidden Bibliographic Details
Other authors / contributors:	Huang, Shigao, editor. Yang, Jie, editor.
ISBN:	9781681088419 168108841X 9781681088426
Notes:	Includes bibliographical references.
Summary:	"Current and Future Application of Artificial Intelligence in Clinical Medicine presents updates on the application of machine learning and deep learning techniques in medical procedures. Chapters in the volume have been written by outstanding contributors from cancer and computer science institutes with the goal of providing updated knowledge to the reader. Topics covered in the book include 1) Artificial Intelligence (AI) applications in cancer diagnosis and therapy, 2) Updates in AI applications in the medical industry, 3) the use of AI in studying the COVID-19 pandemic in China, 4) AI applications in clinical oncology (including AI-based mining for pulmonary nodules and the use of AI in understanding specific carcinomas), 5) AI in medical imaging. Each chapter presents information on related sub topics in a reader friendly format. The combination of expert knowledge and multidisciplinary approaches highlighted in the book make it a valuable source of information for physicians and clinical researchers active in the field of cancer diagnosis and treatment (oncologists, oncologic surgeons, radiation oncologists, nuclear medicine physicians, and radiologists) and computer science scholars seeking to understand medical applications of artificial intelligence."--

Description
Summary:	Current and Future Application of Artificial Intelligence in ClinicalMedicine presents updateson the application of machine learning and deep learning techniques in medicalprocedures. . Chapters in the volume have been written by outstandingcontributors from cancer and computer science institutes with the goal of providing updated knowledge to the reader. Topics covered in the bookinclude 1) Artificial Intelligence (AI) applications in cancer diagnosis and therapy,2) Updates in AI applications in the medical industry, 3) the use of AI in studyingthe COVID-19 pandemic in China, 4) AI applications in clinical oncology(including AI-based mining for pulmonary nodules and the use of AI inunderstanding specific carcinomas), 5) AI inmedical imaging. Each chapter presents information on related sub topics in areader friendly format. The combination of expert knowledge and multidisciplinary approaches highlightedin the book make it a valuable source of information for physicians andclinical researchers active in the field of cancer diagnosis and treatment(oncologists, oncologic surgeons, radiation oncologists, nuclear medicinephysicians, and radiologists) and computer science scholars seeking tounderstand medical applications of artificial intelligence.
Physical Description:	1 online resource
Bibliography:	Includes bibliographical references.
ISBN:	9781681088419 168108841X 9781681088426