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Neural Networks in Healthcare: Potential and Challenges

2006-01-31 Medical
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Release : 2006-01-31
Genre : Medical
Kind : eBook
Book Rating : 504/5 ( reviews)

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Book Synopsis Neural Networks in Healthcare: Potential and Challenges by : Begg, Rezaul

Download or read book Neural Networks in Healthcare: Potential and Challenges written by Begg, Rezaul. This book was released on 2006-01-31. Available in PDF, EPUB and Kindle. Book excerpt: "This book covers state-of-the-art applications in many areas of medicine and healthcare"--Provided by publisher.

Artificial Intelligence in Healthcare

2020-06-21 Computers
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Release : 2020-06-21
Genre : Computers
Kind : eBook
Book Rating : 396/5 ( reviews)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr. This book was released on 2020-06-21. Available in PDF, EPUB and Kindle. Book excerpt: 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

Deep Learning for Smart Healthcare

2024-05-15 Medical
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Release : 2024-05-15
Genre : Medical
Kind : eBook
Book Rating : 379/5 ( reviews)

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Book Synopsis Deep Learning for Smart Healthcare by : K. Murugeswari

Download or read book Deep Learning for Smart Healthcare written by K. Murugeswari. This book was released on 2024-05-15. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data. Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patient’s medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process. Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes.

Deep Learning in Medical Image Analysis

2020-02-06 Medical
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Release : 2020-02-06
Genre : Medical
Kind : eBook
Book Rating : 288/5 ( reviews)

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Book Synopsis Deep Learning in Medical Image Analysis by : Gobert Lee

Download or read book Deep Learning in Medical Image Analysis written by Gobert Lee. This book was released on 2020-02-06. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.

Medical Diagnosis Using Artificial Neural Networks

2014-06-30 Medical
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Release : 2014-06-30
Genre : Medical
Kind : eBook
Book Rating : 47X/5 ( reviews)

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Book Synopsis Medical Diagnosis Using Artificial Neural Networks by : Moein, Sara

Download or read book Medical Diagnosis Using Artificial Neural Networks written by Moein, Sara. This book was released on 2014-06-30. Available in PDF, EPUB and Kindle. Book excerpt: Advanced conceptual modeling techniques serve as a powerful tool for those in the medical field by increasing the accuracy and efficiency of the diagnostic process. The application of artificial intelligence assists medical professionals to analyze and comprehend a broad range of medical data, thus eliminating the potential for human error. Medical Diagnosis Using Artificial Neural Networks introduces effective parameters for improving the performance and application of machine learning and pattern recognition techniques to facilitate medical processes. This book is an essential reference work for academicians, professionals, researchers, and students interested in the relationship between artificial intelligence and medical science through the use of informatics to improve the quality of medical care.

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