Released on 2021-01-01Categories Medical

AI Innovation in Medical Imaging Diagnostics

AI Innovation in Medical Imaging Diagnostics

Author: Anbarasan, Kalaivani

Publisher: IGI Global

ISBN: 9781799830931

Category: Medical

Page: 248

View: 338

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.
Released on 2022-09-09Categories Medical

Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention

Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781668475454

Category: Medical

Page: 1671

View: 150

Medical imaging provides medical professionals the unique ability to investigate and diagnose injuries and illnesses without being intrusive. With the surge of technological advancement in recent years, the practice of medical imaging has only been improved through these technologies and procedures. It is essential to examine these innovations in medical imaging to implement and improve the practice around the world. The Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention investigates and presents the recent innovations, procedures, and technologies implemented in medical imaging. Covering topics such as automatic detection, simulation in medical education, and neural networks, this major reference work is an excellent resource for radiologists, medical professionals, hospital administrators, medical educators and students, librarians, researchers, and academicians.
Released on 2021-01-15Categories Medical

Diagnostic Applications of Health Intelligence and Surveillance Systems

Diagnostic Applications of Health Intelligence and Surveillance Systems

Author: Yadav, Divakar

Publisher: IGI Global

ISBN: 9781799865285

Category: Medical

Page: 332

View: 199

Health surveillance and intelligence play an important role in modern health systems as more data must be collected and analyzed. It is crucial that this data is interpreted and analyzed effectively and efficiently in order to assist with diagnoses and predictions. Diagnostic Applications of Health Intelligence and Surveillance Systems is an essential reference book that examines recent studies that are driving artificial intelligence in the health sector and helping practitioners to predict and diagnose diseases. Chapters within the book focus on health intelligence and how health surveillance data can be made useful and meaningful. Covering topics that include computational intelligence, data analytics, mobile health, and neural networks, this book is crucial for healthcare practitioners, IT specialists, academicians, researchers, and students.
Released on 2021-06-25Categories Health & Fitness

Advancing the Investigation and Treatment of Sleep Disorders Using AI

Advancing the Investigation and Treatment of Sleep Disorders Using AI

Author: Kumar, M. Rajesh

Publisher: IGI Global

ISBN: 9781799880196

Category: Health & Fitness

Page: 290

View: 585

There are more than 80 different sleep disorders including insomnia, sleep apnea, restless leg syndrome, hypersomnia, circadian rhythm disorders, and parasomnia. Good sleep is necessary for optimal health and can affect hormone levels and weight. The use of artificial intelligence (AI) and biomedical signals and images can help in healthcare diagnostics that are related to these and other sleep disorders. Advancing the Investigation and Treatment of Sleep Disorders Using AI presents an overview of sleep disorders based on machine intelligence methods in order to learn and explore the latest advancements, developments, methods, systems, futuristic approaches, and algorithms towards sleep disorders and to address their challenges. This book also discusses recent and future advancements in various feature extraction techniques and machine learning methods. Covering topics such as biomedical signal processing, augmented reality for clinical investigation, and sleep disorder detection, this book is essential for sleep medicine practitioners, clinical psychologists, psychiatrists, medical technologists, doctors, IT specialists, biomedical engineers, researchers, graduate students, and academicians.
Released on 2021-01-22Categories Medical

Handbook of Research on Solving Modern Healthcare Challenges With Gamification

Handbook of Research on Solving Modern Healthcare Challenges With Gamification

Author: Alexandre Peixoto de Queirós, Ricardo

Publisher: IGI Global

ISBN: 9781799874775

Category: Medical

Page: 382

View: 491

While many fields such as e-learning, business, and marketing have taken advantage of the potential of gamification, the healthcare domain has just started to exploit this emerging trend, still in an ad-hoc fashion. Despite the huge potential of applying gamification on several topics of healthcare, there are scarce theoretical studies regarding methodologies, techniques, specifications, and frameworks. These applications must be examined further as they can be used to solve major healthcare-related challenges such as care plan maintenance, medication adherence, phobias treatment, or patient education. Handbook of Research on Solving Modern Healthcare Challenges With Gamification aims to share new approaches and methodologies to build e-health solutions using gamification and identifies new trends on this topic from pedagogical strategies to technological approaches. This book serves as a collection of knowledge that builds the theoretical foundations that can be helpful in creating sustainable e-health solutions in the future. While covering topics such as augmented and virtual reality, ethical issues in gamification, e-learning, telehealth services, and digital applications, this book is essential for research scholars, healthcare/computer science teachers and students pursuing healthcare/computer science-related subjects, enterprise developers, practitioners, researchers, academicians, and students interested in the latest developments and research solving healthcare challenges with modern e-health solutions using gamification.
Released on 2021-05-28Categories Medical

Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis

Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis

Author: Lu, Zhongyu

Publisher: IGI Global

ISBN: 9781799873174

Category: Medical

Page: 263

View: 675

Cancer continues to be a growing problem as it is the foremost cause of death worldwide, killing millions of people each year. The number of people battling cancer continues to increase, owing to different reasons, such as lifestyle choices. Clinically, determining the cause of cancer is very challenging and often inaccurate. Incorporating efficient and accurate algorithms to detect cancer cases is becoming increasingly beneficial for scientists in computer science and healthcare, as well as a long-term benefit for doctors, patients, clinic practitioners, and more. Specifically, an automation of computation in machine learning could be a solution in the next generation of big data science technology. Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis presents algorithms that have been developed to evaluate big data approaches and cancer research. The chapters include artificial intelligence and machine learning approaches, as well as case studies to solve the predictive issues in colon cancer research. This book includes concepts and techniques used to run tasks in an automated manner with the intent to improve better accuracy in comparison with previous studies and methods. This book also covers the processes of research design, development, and outcome analytics in this field. Doctors, IT consultants, IT specialists, medical software professionals, data scientists, researchers, computer scientists, healthcare practitioners, academicians, and students can benefit from this critical resource.
Released on 2021-02-12Categories Medical

Handbook of Research on Nano-Strategies for Combatting Antimicrobial Resistance and Cancer

Handbook of Research on Nano-Strategies for Combatting Antimicrobial Resistance and Cancer

Author: Saravanan, Muthupandian

Publisher: IGI Global

ISBN: 9781799850502

Category: Medical

Page: 559

View: 906

Multidrug-resistant bacteria play a significant role in public health by destroying the potency of existing antibiotics. Meanwhile, cancer remains one of the most common health problems that impact society, resulting in many deaths worldwide. Novel strategies are required to combat antimicrobial resistance and create efficient anticancer drugs that could revolutionize treatment. Nanomedicine is one such innovation that plays a significant role in developing alternative and more effective treatment strategies for antimicrobial resistance and cancer theranostics. The Handbook of Research on Nano-Strategies for Combatting Antimicrobial Resistance and Cancer is an essential scholarly resource that examines (1) how to overcome the existing, traditional approaches to combat antimicrobial resistance and cancer; (2) how to apply multiple mechanisms to target the cancer cells and microbes; and (3) how the nanomaterials can be used as carriers. Featuring a range of topics such as bacteriophage, nanomedicine, and oncology, this book is ideal for molecular biologists, microbiologists, nanotechnologists, academicians, chemists, pharmacists, oncologists, researchers, healthcare professionals, and students.
Released on 2021-06-25Categories Computers

Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease

Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease

Author: Roy, Manikant

Publisher: IGI Global

ISBN: 9781799871903

Category: Computers

Page: 241

View: 848

Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.
Released on 2022-07-01Categories Medical

Research Anthology on Medical Informatics in Breast and Cervical Cancer

Research Anthology on Medical Informatics in Breast and Cervical Cancer

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781668471371

Category: Medical

Page: 891

View: 573

Cancer research is currently a vital field of study as it affects a wide range of the population either directly or indirectly. Breast and cervical cancer are two prevalent types that pose a threat to women’s health and wellness. Due to this, further research on the importance of medical informatics within this field is necessary to ensure patients receive the best possible attention and care. The Research Anthology on Medical Informatics in Breast and Cervical Cancer provides current research and information on how medical informatics are utilized within the field of breast and cervical cancer and considers the best practices and challenges of its implementation. Covering key topics such as women’s health, wellness, oncology, and patient care, this major reference work is ideal for medical professionals, nurses, oncologists, policymakers, researchers, academicians, scholars, practitioners, instructors, and students.
Released on 2019-07-24Categories Law

Global Innovation Index 2019: Creating Healthy Lives — The Future of Medical Innovation

Global Innovation Index 2019: Creating Healthy Lives — The Future of Medical Innovation

Author: World Intellectual Property Organization

Publisher: WIPO

ISBN: 9791095870142

Category: Law

Page: 451

View: 878

The Global Innovation Index 2019 provides detailed metrics about the innovation performance of 129 countries and economies around the world. Its 80 indicators explore a broad vision of innovation, including political environment, education, infrastructure and business sophistication. The GII 2019 analyzes the medical innovation landscape of the next decade, looking at how technological and non-technological medical innovation will transform the delivery of healthcare worldwide. It also explores the role and dynamics of medical innovation as it shapes the future of healthcare, and the potential influence this may have on economic growth. Chapters of the report provide more details on this year’s theme from academic, business, and particular country perspectives from leading experts and decision makers.
Released on 2022-04-22Categories Medical

Artificial Intelligence in Cardiothoracic Imaging

Artificial Intelligence in Cardiothoracic Imaging

Author: Carlo N. De Cecco

Publisher: Springer Nature

ISBN: 9783030920876

Category: Medical

Page: 595

View: 867

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.