Artificial Intelligence In The Clinical Laboratory Current Practice And Emerging Opportunities An Issue Of The Clinics In Laboratory Medicine Volum PDF Download

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Artificial Intelligence in the Clinical Laboratory: Current Practice and Emerging Opportunities, An Issue of the Clinics in Laboratory Medicine, E-Book

Artificial Intelligence in the Clinical Laboratory: Current Practice and Emerging Opportunities, An Issue of the Clinics in Laboratory Medicine, E-Book
Author: Jason Baron
Publisher: Elsevier Health Sciences
Total Pages: 161
Release: 2023-02-10
Genre: Medical
ISBN: 0323939848
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In this issue, guest editors bring their considerable expertise to this important topic. Provides in-depth reviews on the latest updates in the field, providing actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize

Artificial Intelligence in the Clinical Laboratory: Current Practice and Emerging Opportunities, an Issue of the Clinics in Laboratory Medicine: Volum

Artificial Intelligence in the Clinical Laboratory: Current Practice and Emerging Opportunities, an Issue of the Clinics in Laboratory Medicine: Volum
Author: Jason Baron
Publisher: Clinics: Internal Medicine
Total Pages: 0
Release: 2023-03-28
Genre: Medical
ISBN: 9780323939836
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Download Artificial Intelligence in the Clinical Laboratory: Current Practice and Emerging Opportunities, an Issue of the Clinics in Laboratory Medicine: Volum Book in PDF, ePub and Kindle

In this issue, guest editors bring their considerable expertise to this important topic. Provides in-depth reviews on the latest updates in the field, providing actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize

Conceptual Advances in Pathology, An Issue of Clinics in Laboratory Medicine - E-Book

Conceptual Advances in Pathology, An Issue of Clinics in Laboratory Medicine - E-Book
Author: Zoltan Oltvai
Publisher: Elsevier Health Sciences
Total Pages: 240
Release: 2012-09-16
Genre: Medical
ISBN: 1455747866
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This issue of Clinics in Laboratory Medicine titled, "Conceptual Advances in Pathology" addresses the key factors impacting pathology and details the technology surrounding the field. The Guest Editor, Zoltan Oltvai, MD., splits the issue into three sections; Technological Advances, Process Advances, Educational and Practice Needs, and the Business of Pathology.

Global Health and Pathology, An Issue of the Clinics in Laboratory Medicine

Global Health and Pathology, An Issue of the Clinics in Laboratory Medicine
Author: Dan Milner
Publisher: Elsevier Health Sciences
Total Pages:
Release: 2018-02-10
Genre: Medical
ISBN: 0323581595
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This issue of Clinics in Laboratory Medicine, edited by Dr. Dan Milner, will focus on Global Health and Pathology. Topics include, but are not limited to: Clinical Laboratory Volunteerism, Pathologists Overseas; Anatomic Pathology Volunteerism; Funding Strategies in Research and Global Pathology; Diagnostics for Cancer and Health Systems building through pathology laboratories; Training the next pathologists in global health; Maximizing internet resources for improving pathology/lab medicine in LMICs; Pathology-based research in Africa; HIV and Cancer: Role of Pathology in success; Lymphoma and Pathology in Africa: Current approaches and future diagnostics; Laboratory Capacity as a tool for building health systems; Building Cross Country Networks for Laboratory Capacity and improvement; Lab accreditation; Practical success in Telepathology experiences in Africa; Pathology and WHO vision of the future of LMICs; Breast Cancer in LMICs: Why we need pathology and clinical trial capability to solve this challenge; Cytopathology in LMICs: why and how to integrate to capacitate healthcare; and Biorepositories and Data Cores for Research in Global Health.

Global Health and Pathology, an Issue of the Clinics in Laboratory Medicine

Global Health and Pathology, an Issue of the Clinics in Laboratory Medicine
Author: Dan Milner
Publisher: Clinics: Internal Medicine
Total Pages: 207
Release: 2018-02-23
Genre: Medical
ISBN: 9780323581585
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Download Global Health and Pathology, an Issue of the Clinics in Laboratory Medicine Book in PDF, ePub and Kindle

This issue of Clinics in Laboratory Medicine, edited by Dr. Dan Milner, will focus on Global Health and Pathology. Topics include, but are not limited to: Clinical Laboratory Volunteerism, Pathologists Overseas; Anatomic Pathology Volunteerism; Funding Strategies in Research and Global Pathology; Diagnostics for Cancer and Health Systems building through pathology laboratories; Training the next pathologists in global health; Maximizing internet resources for improving pathology/lab medicine in LMICs; Pathology-based research in Africa; HIV and Cancer: Role of Pathology in success; Lymphoma and Pathology in Africa: Current approaches and future diagnostics; Laboratory Capacity as a tool for building health systems; Building Cross Country Networks for Laboratory Capacity and improvement; Lab accreditation; Practical success in Telepathology experiences in Africa; Pathology and WHO vision of the future of LMICs; Breast Cancer in LMICs: Why we need pathology and clinical trial capability to solve this challenge; Cytopathology in LMICs: why and how to integrate to capacitate healthcare; and Biorepositories and Data Cores for Research in Global Health.

AI in Clinical Medicine

AI in Clinical Medicine
Author: Michael F. Byrne
Publisher: John Wiley & Sons
Total Pages: 597
Release: 2023-05-01
Genre: Medical
ISBN: 1119790646
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AI IN CLINICAL MEDICINE An essential overview of the application of artificial intelligence in clinical medicine AI in Clinical Medicine: A Practical Guide for Healthcare Professionals is the definitive reference book for the emerging and exciting use of AI throughout clinical medicine. AI in Clinical Medicine: A Practical Guide for Healthcare Professionals is divided into four sections. Section 1 provides readers with the basic vocabulary that they require, a framework for AI, and highlights the importance of robust AI training for physicians. Section 2 reviews foundational ideas and concepts, including the history of AI. Section 3 explores how AI is applied to specific disciplines. Section 4 describes emerging trends, and applications of AI in medicine in the future. Readers will find that this book: Describes where AI is currently being used to change practice, and provides successful cases of AI approaches in specific medical domains. Dives into the actual implementation of AI in the healthcare setting, and addresses reimbursement, workforce, and many other practical issues. Addresses some of the unique challenges associated with AI in clinical medicine including ethical issues, as well as regulatory and privacy concerns. Includes bulleted lists of learning objectives, key insights, clinical vignettes, brief examples of where AI is successfully deployed, and examples of potential problematic uses of AI and possible risks. From radiology, to pathology, dermatology, endoscopy, robotics, virtual reality, and more, AI in Clinical Medicine: A Practical Guide for Healthcare Professionals explores all recent state-of-the-art developments in the field. It is an essential resource for a general medical audience across all disciplines, from students to clinicians, academics to policy makers.

Artificial Intelligence and Machine Learning for Healthcare

Artificial Intelligence and Machine Learning for Healthcare
Author: Chee Peng Lim
Publisher: Springer Nature
Total Pages: 282
Release: 2022-09-29
Genre: Medical
ISBN: 3031111702
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In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on “Artificial Intelligence and Machine Learning for Healthcare”. The first volume is focused on utilization of AI and ML for image and data analytics in the medical and healthcare domains. In this second volume, emerging methodologies and future trends in AI and ML for advancing medical treatments and healthcare services are presented. The selected studies in this book provide readers a glimpse on current progresses in AI and ML for undertaking a variety of healthcare-related tasks. The advances in AI and ML technologies for future healthcare are also discussed, shedding light on the potential of AI and ML to realize the next-generation medical treatments and healthcare services for the betterment of our global society.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Adam Bohr
Publisher: Academic Press
Total Pages: 385
Release: 2020-06-21
Genre: Computers
ISBN: 0128184396
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Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Artificial Intelligence in Clinical Practice

Artificial Intelligence in Clinical Practice
Author: Chayakrit Krittanawong
Publisher: Elsevier
Total Pages: 550
Release: 2023-09-29
Genre: Computers
ISBN: 0443156891
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Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics compiles current research on Artificial Intelligence within medical subspecialties, helping practitioners with diagnosis, clinical decision-making, disease prediction, prevention, and the facilitation of precision medicine. The book defines the basic concepts of big data and AI in medicine and highlights current applications, challenges, ethical issues, and biases. Each chapter discusses AI applied to a specific medical subspecialty, including primary care, preventive medicine, general internal medicine, radiology, pathology, infectious disease, gastroenterology, cardiology, hematology, oncology, dermatology, ophthalmology, mental health, neurology, pulmonary, critical care, rheumatology, surgery, and OB-GYN. This is a valuable resource for clinicians, students, researchers and members of medical and biomedical fields who are interested in learning more about artificial intelligence technologies and their applications in medicine. Provides the history and overview of the various modalities of AI and their applications within each field of medicine Discusses current AI-based medical research, including landmark trials within each field of medicine Addresses the current knowledge gaps that clinicians commonly face that prevent the application of AI-based research to clinical practice Encompasses examples of specific cases and discusses challenges and biases associated with AI

Artificial Intelligence and Machine Learning for Healthcare

Artificial Intelligence and Machine Learning for Healthcare
Author: Chee-Peng Lim
Publisher: Springer Nature
Total Pages: 239
Release: 2022-09-26
Genre: Technology & Engineering
ISBN: 3031111540
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Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future. In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.