Ai For Radiology

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Artificial Intelligence in Medical Imaging

Lia Morra,Silvia Delsanto,Loredana Correale
Artificial Intelligence in Medical Imaging Book PDF

Author : Lia Morra,Silvia Delsanto,Loredana Correale
Publisher : CRC Press
Page : 165 pages
File Size : 49,6 Mb
Release : 2019-11-25
Category : Science
ISBN : 9781000753080

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Artificial Intelligence in Medical Imaging by Lia Morra,Silvia Delsanto,Loredana Correale Pdf

Choice Recommended Title, January 2021 This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed and which failed, from the era of computer aided detection systems on to the current cutting-edge applications in deep learning today, which are starting to exhibit on-par performance with clinical experts. In the last section, the book offers a view on the complexity of the validation of artificial intelligence applications for commercial use, describing the recently introduced concept of software as a medical device, as well as good practices and relevant considerations for training and testing machine learning systems for medical use. Open problematics on the validation for public use of systems which by nature continuously evolve through new data is also explored. The book will be of interest to graduate students in medical physics, biomedical engineering and computer science, in addition to researchers and medical professionals operating in the medical imaging domain, who wish to better understand these technologies and the future of the field. Features: An accessible yet detailed overview of the field Explores a hot and growing topic Provides an interdisciplinary perspective

AI for Radiology

Oge Marques
AI for Radiology Book PDF

Author : Oge Marques
Publisher : CRC Press
Page : 157 pages
File Size : 48,7 Mb
Release : 2024-02-12
Category : Computers
ISBN : 9781003836445

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AI for Radiology by Oge Marques Pdf

Artificial intelligence (AI) has revolutionized many areas of medicine and is increasingly being embraced. This book focuses on the integral role of AI in radiology, shedding light on how this technology can enhance patient care and streamline professional workflows. This book reviews, explains, and contextualizes some of the most current, practical, and relevant developments in artificial intelligence and deep learning in radiology and medical image analysis. AI for Radiology presents a balanced viewpoint of the impact of AI in these fields, underscoring that AI technologies are not intended to replace radiologists but rather to augment their capabilities, freeing professionals to focus on more complex cases. This book guides readers from the basic principles of AI to their practical applications in radiology, moving from the role of data in AI to the ethical and regulatory considerations of using AI in radiology and concluding with a selection of resources for further exploration. This book has been crafted with a diverse readership in mind. It is a valuable asset for medical professionals eager to stay up to date with AI developments, computer scientists curious about AI’s clinical applications, and anyone interested in the intersection of healthcare and technology.

Artificial Intelligence in Medical Imaging

Erik R. Ranschaert,Sergey Morozov,Paul R. Algra
Artificial Intelligence in Medical Imaging Book PDF

Author : Erik R. Ranschaert,Sergey Morozov,Paul R. Algra
Publisher : Springer
Page : 373 pages
File Size : 49,8 Mb
Release : 2019-01-29
Category : Medical
ISBN : 9783319948782

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Artificial Intelligence in Medical Imaging by Erik R. Ranschaert,Sergey Morozov,Paul R. Algra Pdf

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

A Radiologist's Introduction to AI and Machine Learning

Leigh Shuman,Ty Vachon
A Radiologist s Introduction to AI and Machine Learning Book PDF

Author : Leigh Shuman,Ty Vachon
Publisher : Unknown
Page : 36 pages
File Size : 47,7 Mb
Release : 2019-04-05
Category : Electronic
ISBN : 1092768319

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A Radiologist's Introduction to AI and Machine Learning by Leigh Shuman,Ty Vachon Pdf

With all of the news of artificial intelligence and machine learning it can be daunting to find a place to start. This short book is for radiologists, radiology residents and medical students who want to learn the basics. You will need no computer background to read this book.Program directors or professors may use this a tool to introduce AI and ML to trainees.The book will present the difference between artificial intelligence, machine learning and neural networks. You will learn that a neural network is similar to human brains and 'layers' are similar to synapses. Just like the first few years of medical school presented new vocabulary, ML and AI have some particular words that are described simply.There are some similarities between residency training and 'training an algorithm' which will be explained.After reading this book, you will be prepared to read radiology journal articles that showcase AI and ML applications.

Artificial Intelligence in Medical Imaging

Erik R. Ranschaert,Sergey Morozov,P. R. Algra
Artificial Intelligence in Medical Imaging Book PDF

Author : Erik R. Ranschaert,Sergey Morozov,P. R. Algra
Publisher : Unknown
Page : 373 pages
File Size : 51,7 Mb
Release : 2019
Category : Artificial intelligence
ISBN : 3319948792

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Artificial Intelligence in Medical Imaging by Erik R. Ranschaert,Sergey Morozov,P. R. Algra Pdf

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

AI Innovation in Medical Imaging Diagnostics

Anbarasan, Kalaivani
AI Innovation in Medical Imaging Diagnostics Book PDF

Author : Anbarasan, Kalaivani
Publisher : IGI Global
Page : 248 pages
File Size : 44,8 Mb
Release : 2021-01-01
Category : Medical
ISBN : 9781799830931

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AI Innovation in Medical Imaging Diagnostics by Anbarasan, Kalaivani Pdf

Recent advancements in the technology of medical imaging, such as CT and MRI scanners, are making it possible to create more detailed 3D and 4D images. These powerful images require vast amounts of digital data to help with the diagnosis of the patient. Artificial intelligence (AI) must play a vital role in supporting with the analysis of this medical imaging data, but it will only be viable as long as healthcare professionals and AI interact to embrace deep thinking platforms such as automation in the identification of diseases in patients. AI Innovation in Medical Imaging Diagnostics is an essential reference source that examines AI applications in medical imaging that can transform hospitals to become more efficient in the management of patient treatment plans through the production of faster imaging and the reduction of radiation dosages through the PET and SPECT imaging modalities. The book also explores how data clusters from these images can be translated into small data packages that can be accessed by healthcare departments to give a real-time insight into patient care and required interventions. Featuring research on topics such as assistive healthcare, cancer detection, and machine learning, this book is ideally designed for healthcare administrators, radiologists, data analysts, computer science professionals, medical imaging specialists, diagnosticians, medical professionals, researchers, and students.

Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

Kenji Suzuki,Yisong Chen
Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging Book PDF

Author : Kenji Suzuki,Yisong Chen
Publisher : Springer
Page : 387 pages
File Size : 45,9 Mb
Release : 2018-01-09
Category : Technology & Engineering
ISBN : 9783319688435

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Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging by Kenji Suzuki,Yisong Chen Pdf

This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.

Medical Imaging

K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey
Medical Imaging Book PDF

Author : K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey
Publisher : CRC Press
Page : 251 pages
File Size : 54,7 Mb
Release : 2019-08-20
Category : Computers
ISBN : 9780429642494

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Medical Imaging by K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey Pdf

Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.

Artificial Intelligence in Cardiothoracic Imaging

Carlo N. De Cecco,Marly van Assen,Tim Leiner
Artificial Intelligence in Cardiothoracic Imaging Book PDF

Author : Carlo N. De Cecco,Marly van Assen,Tim Leiner
Publisher : Springer Nature
Page : 582 pages
File Size : 50,8 Mb
Release : 2022-04-22
Category : Medical
ISBN : 9783030920876

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Artificial Intelligence in Cardiothoracic Imaging by Carlo N. De Cecco,Marly van Assen,Tim Leiner Pdf

This book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because the medical system is based on physicians’ ability to take well-informed decisions and convey their reasoning to colleagues and patients. This book offers unique insights and informative chapters on the use of AI for cardiothoracic imaging from both the technical and clinical perspective. It is also a single comprehensive source that provides a complete overview of the entire process of the development and use of AI in clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separate chapters will discuss the valorization, regulations surrounding AI, cost-effectiveness, and future perspective for different countries and continents. This book is an ideal guide for clinicians (radiologists, cardiologists etc.) interested in working with AI, whether in a research setting developing new AI applications or in a clinical setting using AI algorithms in clinical practice. The book also provides clinical insights and overviews for AI specialists who want to develop clinically relevant AI applications.

AI in Biological and Biomedical Imaging

Xin Gao,Lihua Li,Min Xu
AI in Biological and Biomedical Imaging Book PDF

Author : Xin Gao,Lihua Li,Min Xu
Publisher : Frontiers Media SA
Page : 161 pages
File Size : 45,6 Mb
Release : 2022-01-17
Category : Science
ISBN : 9782889740499

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AI in Biological and Biomedical Imaging by Xin Gao,Lihua Li,Min Xu Pdf

Doctors Gao and Li hold patents related to artificial intelligence.

Introduction to Artificial Intelligence

Michail E. Klontzas,Salvatore Claudio Fanni,Emanuele Neri
Introduction to Artificial Intelligence Book PDF

Author : Michail E. Klontzas,Salvatore Claudio Fanni,Emanuele Neri
Publisher : Springer
Page : 0 pages
File Size : 55,5 Mb
Release : 2023-09-14
Category : Medical
ISBN : 3031259270

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Introduction to Artificial Intelligence by Michail E. Klontzas,Salvatore Claudio Fanni,Emanuele Neri Pdf

This book aims to provide physicians and scientists with the basics of Artificial Intelligence (AI) with a special focus on medical imaging. The contents of the book provide an introduction to the main topics of artificial intelligence currently applied on medical image analysis. The book starts with a chapter explaining the basic terms used in artificial intelligence for novice readers and embarks on a series of chapters each one of which provides the basics on one AI-related topic. The second chapter presents the programming languages and available automated tools that enable the development of AI applications for medical imaging. The third chapter endeavours to analyse the main traditional machine learning techniques, explaining algorithms such as random forests, support vector machines as well as basic neural networks. The applications of those machines on the analysis of radiomics data is expanded in the fourth chapter to allow the understanding of algorithms used to build classifiers for the diagnosis of disease processes with the use of radiomics. Chapter five provides the basics of natural language processing which has revolutionized the analysis of complex radiological reports and chapter six affords a succinct introduction to convolutional neural networks which have revolutionized medical image analysis enabling automated image-based diagnosis, image enhancement (e.g. denoising), protocolling etc. The penultimate chapter provides an introduction to data preprocessing for use in the aforementioned artificial intelligence applications. The book concludes with a chapter demonstrating AI-based tools already in radiological practice while providing an insight about the foreseeable future. It will be a valuable resource for radiologists, computer scientists and postgraduate students working on medical image analysis.

Future of AI in Medical Imaging

Sharma, Avinash Kumar,Chanderwal, Nitin,Tyagi, Shobhit,Upadhyay, Prashant
Future of AI in Medical Imaging Book PDF

Author : Sharma, Avinash Kumar,Chanderwal, Nitin,Tyagi, Shobhit,Upadhyay, Prashant
Publisher : IGI Global
Page : 327 pages
File Size : 54,7 Mb
Release : 2024-03-11
Category : Computers
ISBN : 9798369323601

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Future of AI in Medical Imaging by Sharma, Avinash Kumar,Chanderwal, Nitin,Tyagi, Shobhit,Upadhyay, Prashant Pdf

Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes. Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes.

Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging

Stefan Wesarg,Esther Puyol Antón,John S. H. Baxter,Marius Erdt,Klaus Drechsler,Cristina Oyarzun Laura,Moti Freiman,Yufei Chen,Islem Rekik,Roy Eagleson,Aasa Feragen,Andrew P. King,Veronika Cheplygina,Melani Ganz-Benjaminsen,Enzo Ferrante,Ben Glocker,Daniel Moyer,Eikel Petersen
Clinical Image Based Procedures Fairness of AI in Medical Imaging and Ethical and Philosophical Issues in Medical Imaging Book PDF

Author : Stefan Wesarg,Esther Puyol Antón,John S. H. Baxter,Marius Erdt,Klaus Drechsler,Cristina Oyarzun Laura,Moti Freiman,Yufei Chen,Islem Rekik,Roy Eagleson,Aasa Feragen,Andrew P. King,Veronika Cheplygina,Melani Ganz-Benjaminsen,Enzo Ferrante,Ben Glocker,Daniel Moyer,Eikel Petersen
Publisher : Springer Nature
Page : 328 pages
File Size : 55,5 Mb
Release : 2023-10-09
Category : Computers
ISBN : 9783031452499

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Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging by Stefan Wesarg,Esther Puyol Antón,John S. H. Baxter,Marius Erdt,Klaus Drechsler,Cristina Oyarzun Laura,Moti Freiman,Yufei Chen,Islem Rekik,Roy Eagleson,Aasa Feragen,Andrew P. King,Veronika Cheplygina,Melani Ganz-Benjaminsen,Enzo Ferrante,Ben Glocker,Daniel Moyer,Eikel Petersen Pdf

This book constitutes the refereed proceedings of the 12th International Workshop on Clinical Image-Based Procedures, CLIP 2023, the First MICCAI Workshop on Fairness of AI in Medical Imaging, FAIMI 2023, and the Second MICCAI Workshop on the Ethical and Philosophical Issues in Medical Imaging, EPIMI 2023, held in conjunction with MICCAI 2023, in October 2023. CLIP 2023 accepted 5 full papers and 3 short papers form 8 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice. For FAIMI 2023, 19 full papers have been accepted from 20 submissions. They focus on creating awareness about potential fairness issues that can emerge in the context of machine learning. And for EPIMI 2023, 2 papers have been accepted from 5 submissions. They investigate questions that underlie medical imaging research at the most fundamental level.

Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging

Patrick Veit-Haibach,Ken Herrmann
Artificial Intelligence Machine Learning in Nuclear Medicine and Hybrid Imaging Book PDF

Author : Patrick Veit-Haibach,Ken Herrmann
Publisher : Springer Nature
Page : 217 pages
File Size : 52,8 Mb
Release : 2022-06-22
Category : Medical
ISBN : 9783031001192

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Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging by Patrick Veit-Haibach,Ken Herrmann Pdf

This book includes detailed explanations of the underlying technologies and concepts used in Artificial Intelligence (AI) and Machine Learning (ML) in the context of nuclear medicine and hybrid imaging. A diverse team of authors, including pioneers in the field and respected experts from leading international institutions, share their insights, opinions and outlooks on this exciting topic. A wide range of clinical applications are discussed, from brain applications to body indications, as well as the applicability of AI and ML for cardio-vascular conditions. The book also considers the potential impact of theranostics. To balance the technology-heavy and disease-specific applications, it also discusses ethical / legal issues, economic realities and the human factor, the physician. Though this discussion is not based on research and outcomes, it provides important insights into the ramifications of how AI and ML could transform Nuclear Medicine and Hybrid Imaging practice. As the first work highlighting the role of these concepts specifically in this field, rather than for medical imaging in general, this book offers a valuable resource for Nuclear Medicine Physicians, Radiologists, Physicists, Medical Imaging Administrators and Nuclear Medicine Technologists alike.

Applications of Artificial Intelligence in Medical Imaging

Abdulhamit Subasi
Applications of Artificial Intelligence in Medical Imaging Book PDF

Author : Abdulhamit Subasi
Publisher : Academic Press
Page : 381 pages
File Size : 43,8 Mb
Release : 2022-11-10
Category : Science
ISBN : 9780443184512

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Applications of Artificial Intelligence in Medical Imaging by Abdulhamit Subasi Pdf

Applications of Artificial Intelligence in Medical Imaging provides the description of various biomedical image analysis in disease detection using AI that can be used to incorporate knowledge obtained from different medical imaging devices such as CT, X-ray, PET and ultrasound. The book discusses the use of AI for detection of several cancer types, including brain tumor, breast, pancreatic, rectal, lung colon, and skin. In addition, it explains how AI and deep learning techniques can be used to diagnose Alzheimer's, Parkinson's, COVID-19 and mental conditions. This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about AI and its impact in medical/biomedical image analysis. Discusses new deep learning algorithms for image analysis and how they are used for medical images Provides several examples for each imaging technique, along with their application areas so that readers can rely on them as a clinical decision support system Describes how new AI tools may contribute significantly to the successful enhancement of a single patient's clinical knowledge to improve treatment outcomes