Halabi safwan (15 Ergebnisse)

Paperback. Zustand: Very Good. Second. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 2nd pap/psc edition. 346 pages. 10.50x8.25x0.75 inches. In Stock.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Neuware - Prepare for success on the pediatric imaging component of the radiology Core Exam! Pediatric Imaging: A Core Review, 2nd Edition, by Drs. Steven L. Blumer, David M. Biko, and Safwan S. Halabi, is an up-to-date, practical review tool written specifically for the Core Exam. This helpful resource contains over 300 image-rich, multiple-choice questions with detailed explanations of right and wrong answers, revised content, and additional Elektronisches Buch questions to ensure you're ready for the Core Exam or recertification exam. - Features questions in all areas of pediatric radiology, with dozens of new questions - Features over 500 high-resolution images - Provides concise answers with explanations of each choice followed by relevant, up-to-date references - Follows the structure and content of what you'll encounter on the test, conveniently organized by topic The VST Elektronisches Buch contains more than 330 interactive questions you can use for self-assessment! Enrich Your Elektronisches Buch Reading Experience- Read directly on your preferred device(s), such as computer, tablet, or smartphone. - Easily convert to audiobook, powering your content with natural language text-to-speech.…

Paperback. Zustand: Brand New. 261 pages. 9.25x6.10x0.71 inches. In Stock.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Trends of Artificial Intelligence and Big Data for E-Health | Houneida Sakly (u. a.) | Taschenbuch | Integrated Science | x | Englisch | 2024 | Springer | EAN 9783031112010 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry and others. This will include topics such as Artificial Intelligence of Thing (AIOT), Explainable Artificial Intelligence (XAI), Distributed learning, Blockchain of Internet of Things (BIOT), Cybersecurity, and Internet of (Medical) Things (IoTs).Healthcare providers will learn how to leverage Big Data analytics and AI as methodology for accurate analysis based on their clinical data repositories and clinical decision support. The capacity to recognize patterns and transform large amounts of data into usable information for precision medicine assists healthcare professionals in achieving these objectives.Intelligent Health has the potential to monitor patients at risk with underlying conditions and track their progress during therapy. Some of the greatest challenges in using these technologies are based on legal and ethical concerns of using medical data and adequately representing and servicing disparate patient populations. One major potential benefit of this technology is to make health systems more sustainable and standardized. Privacy and data security, establishing protocols, appropriate governance, and improving technologies will be among the crucial priorities for Digital Transformation in Healthcare. …

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 264 | Sprache: Englisch | Produktart: Bücher | This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry and others. This will include topics such as Artificial Intelligence of Thing (AIOT), Explainable Artificial Intelligence (XAI), Distributed learning, Blockchain of Internet of Things (BIOT), Cybersecurity, and Internet of (Medical) Things (IoTs). Healthcare providers will learn how to leverage Big Data analytics and AI as methodology for accurate analysis based on their clinical data repositories and clinical decision support. The capacity to recognize patterns and transform large amounts of data into usable information for precision medicine assists healthcare professionals in achieving these objectives. Intelligent Health has the potential to monitor patients at risk with underlying conditions and track their progress during therapy. Some of the greatest challenges in using these technologies are based on legal and ethical concerns of using medical data and adequately representing and servicing disparate patient populations. One major potential benefit of this technology is to make health systems more sustainable and standardized. Privacy and data security, establishing protocols, appropriate governance, and improving technologies will be among the crucial priorities for Digital Transformation in Healthcare. …

Hardcover. Zustand: Brand New. 1st edition. 251 pages. 9.25x6.25x0.75 inches. In Stock.

Zustand: New.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry and others. This will include topics such as Artificial Intelligence of Thing (AIOT), Explainable Artificial Intelligence (XAI), Distributed learning, Blockchain of Internet of Things (BIOT), Cybersecurity, and Internet of (Medical) Things (IoTs).Healthcare providers will learn how to leverage Big Data analytics and AI as methodology for accurate analysis based on their clinical data repositories and clinical decision support. The capacity to recognize patterns and transform large amounts of data into usable information for precision medicine assists healthcare professionals in achieving these objectives.Intelligent Health has the potential to monitor patients at risk with underlying conditions and track their progress during therapy. Some of the greatest challenges in using these technologies are based on legal and ethical concerns of using medical data and adequately representing and servicing disparate patient populations. One major potential benefit of this technology is to make health systems more sustainable and standardized. Privacy and data security, establishing protocols, appropriate governance, and improving technologies will be among the crucial priorities for Digital Transformation in Healthcare. …

Hardcover. Zustand: gut. 2023. Trends of Artificial Intelligence and Big Data for E-Health In deutscher Sprache. pages.