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Artificial Intelligence In Cancer

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Artificial Intelligence in Breast Cancer Early Detection and Diagnosis

Artificial Intelligence in Breast Cancer Early Detection and Diagnosis Book
Author : Khalid Shaikh,Sabitha Krishnan,Rohit Thanki
Publisher : Springer Nature
Release : 2020-12-04
ISBN : 3030592081
Language : En, Es, Fr & De

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Book Description :

This book provides an introduction to next generation smart screening technology for medical image analysis that combines artificial intelligence (AI) techniques with digital screening to develop innovative methods for detecting breast cancer. The authors begin with a discussion of breast cancer, its characteristics and symptoms, and the importance of early screening.They then provide insight on the role of artificial intelligence in global healthcare, screening methods for breast cancer using mammogram, ultrasound, and thermogram images, and the potential benefits of using AI-based systems for clinical screening to more accurately detect, diagnose, and treat breast cancer. Discusses various existing screening methods for breast cancer Presents deep information on artificial intelligence-based screening methods Discusses cancer treatment based on geographical differences and cultural characteristics

Artificial Intelligence in Cancer

Artificial Intelligence in Cancer Book
Author : Smaranda Belciug
Publisher : Academic Press
Release : 2020-07-15
ISBN : 0128202017
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment provides theoretical concepts and practical techniques of AI and its applications in cancer management, building a roadmap on how to use AI in cancer at different stages of healthcare. It discusses topics such as the impactful role of AI during diagnosis and how it can support clinicians to make better decisions, AI tools to help pathologists identify exact types of cancer, how AI supports tumor profiling and can assist surgeons, and the gains in precision for oncologists using AI tools. Additionally, it provides information on AI used for survival and remission/recurrence analysis. The book is a valuable source for bioinformaticians, cancer researchers, oncologists, clinicians and members of the biomedical field who want to understand the promising field of AI applications in cancer management. Discusses over 20 real cancer examples, bringing state-of-the-art cancer cases in which AI was used to help the medical personnel Presents over 100 diagrams, making it easier to comprehend AI's results on a specific problem through visual resources Explains AI algorithms in a friendly manner, thus helping the reader implement or use them in a specific cancer case

Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis

Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis Book
Author : Ashlesha Jain,Ajita Jain,Sandhya Jain,Lakhmi Jain
Publisher : World Scientific
Release : 2000-08-21
ISBN : 9814492671
Language : En, Es, Fr & De

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Book Description :

The main aim of this book is to present a sample of recent research on the application of novel artificial intelligence paradigms to the diagnosis and prognosis of breast cancer. These paradigms include neural networks, fuzzy logic and evolutionary computing. Artificial intelligence techniques offer advantages — such as adaptation, fault tolerance, learning and human-like behavior — over conventional computing techniques. The idea is to combine the pathological, intelligent and statistical approaches to enable simple and accurate diagnosis and prognosis. This book is the first of its kind on the topic of artificial intelligence in breast cancer. It presents the applications of artificial intelligence in breast cancer diagnosis and prognosis, and includes state-of-the-art concepts in the field. It contains contributions from Australia, Germany, Italy, UK and the USA. Contents:An Introduction to Breast Cancer Diagnosis, Prognosis, and Artificial Intelligence (N Harbeck et al.)Automatic Image Feature Extraction for Diagnosis and Prognosis of Breast Cancer (M J Bottema et al.)Decision Support in Breast Cancer: Recent Advances in Prognostic and Predictive Techniques (R Kates et al.)MammoNet: A Bayesian Network Diagnosing Breast Cancer (L M Roberts)Predicting Prognosis and Treatment Response in Breast Cancer Patients (M G Daidone & D Coradini)Computer-Aided Breast Cancer Diagnosis (H-P Chan et al.)Which Decision Support Technologies are Appropriate for the Cytodiagnosis of Breast Cancer? (S S Cross et al.)Xcyt: A System for Remote Cytological Diagnosis and Prognosis of Breast Cancer (W N Street) Readership: Medical practitioners, researchers and graduate students. Keywords:Artificial Intelligence;Soft Computing;Breast Cancer;Diagnosis;Prognosis;Fuzzy Systems;Neural NetworksReviews:“The editors have done an excellent job of putting together a book that highlights the advances and controversies that surround the subject … The book will be of particular interest to clinical decision support systems designers and academic oncologists.”Cancer Forum

Artificial Intelligence in Oncology Drug Discovery and Development

Artificial Intelligence in Oncology Drug Discovery and Development Book
Author : John Cassidy,Belle Taylor
Publisher : BoD – Books on Demand
Release : 2020-09-09
ISBN : 1789846897
Language : En, Es, Fr & De

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Book Description :

There exists a profound conflict at the heart of oncology drug development. The efficiency of the drug development process is falling, leading to higher costs per approved drug, at the same time personalised medicine is limiting the target market of each new medicine. Even as the global economic burden of cancer increases, the current paradigm in drug development is unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. We consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence.

Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare Book
Author : Ankur Saxena
Publisher : Springer Nature
Release : 2021-06-17
ISBN : 9811608113
Language : En, Es, Fr & De

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Book Description :

Download Artificial Intelligence and Machine Learning in Healthcare book written by Ankur Saxena, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine Book
Author : Lei Xing,Maryellen L. Giger,James K Min
Publisher : Academic Press
Release : 2020-09-16
ISBN : 0128212586
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. Provides history and overview of artificial intelligence, as narrated by pioneers in the field Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Evaluating the Use of Artificial Intelligence in Oncology Diagnostics

Evaluating the Use of Artificial Intelligence in Oncology Diagnostics Book
Author : Evelyn R. Hermes-DeSantis
Publisher : Unknown
Release : 2017
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Method: The Oncology Business Review was surveyed for recent studies of oncology diagnostics. Four studies of four cancer types published from August 2018-March 2019 were identified. Each study was evaluated for appropriateness of population investigated, interventions, endpoints and statistical analyses.Results: All four studies showed evidence supporting use of AI. One study evaluated the use of mathematical software to identify the aggressiveness of ovarian cancer tumors using scans and tissue samples from 364 patients. The study found that the software was four times more accurate for predicting deaths than current prognostic markers. A breast cancer study of a deep convolutional neural network (CNN) to automatically measure breast density using digital mammograms found that 94% of 10,763 assessments were accepted by participating radiologists. A prostate cancer study analyzed tissue samples from 590 patients using machine learning techniques andpredicted significant disease progression with greater accuracy than traditional techniques. A lung cancer study using a CNN was able to distinguish with 97% accuracy from 1,634 slides between two cancer types typically requiring confirmatory testing to identify.Conclusion: AI may be a useful tool to improve the diagnosis of cancer andidentify targeted treatments for patients. However, researchers must overcome numerous barriers to access larger and multivariate data sets from institutions. Researchers must also carefully consider the risk of error while training and relying on the AI. Further research is needed in collaboration with AI developers and clinicians to establish the role of AI in clinical practice.

Artificial Intelligence in Cancer

Artificial Intelligence in Cancer Book
Author : Smaranda Belciug
Publisher : Academic Press
Release : 2020-06-18
ISBN : 0128204109
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment provides theoretical concepts and practical techniques of AI and its applications in cancer management, building a roadmap on how to use AI in cancer at different stages of healthcare. It discusses topics such as the impactful role of AI during diagnosis and how it can support clinicians to make better decisions, AI tools to help pathologists identify exact types of cancer, how AI supports tumor profiling and can assist surgeons, and the gains in precision for oncologists using AI tools. Additionally, it provides information on AI used for survival and remission/recurrence analysis. The book is a valuable source for bioinformaticians, cancer researchers, oncologists, clinicians and members of the biomedical field who want to understand the promising field of AI applications in cancer management. Discusses over 20 real cancer examples, bringing state-of-the-art cancer cases in which AI was used to help the medical personnel Presents over 100 diagrams, making it easier to comprehend AI’s results on a specific problem through visual resources Explains AI algorithms in a friendly manner, thus helping the reader implement or use them in a specific cancer case

Artificial Intelligence and Machine Learning for Digital Pathology

Artificial Intelligence and Machine Learning for Digital Pathology Book
Author : Andreas Holzinger
Publisher : Springer Nature
Release : 2021-06-17
ISBN : 3030504026
Language : En, Es, Fr & De

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Book Description :

Download Artificial Intelligence and Machine Learning for Digital Pathology book written by Andreas Holzinger, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Artificial Intelligence and Deep Learning in Pathology E Book

Artificial Intelligence and Deep Learning in Pathology E Book Book
Author : Stanley Cohen
Publisher : Elsevier Health Sciences
Release : 2020-06-02
ISBN : 0323675379
Language : En, Es, Fr & De

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Book Description :

Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.

Deep Learning for Cancer Diagnosis

Deep Learning for Cancer Diagnosis Book
Author : Utku Kose
Publisher : Springer Nature
Release : 2021-06-17
ISBN : 9811563217
Language : En, Es, Fr & De

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Book Description :

Download Deep Learning for Cancer Diagnosis book written by Utku Kose, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Artificial Intelligence and Deep Learning in Pathology

Artificial Intelligence and Deep Learning in Pathology Book
Author : Stanley Cohen
Publisher : Elsevier
Release : 2020-06
ISBN : 9780323675383
Language : En, Es, Fr & De

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Book Description :

Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.

Artificial Intelligence Approach to Breast Cancer Classification

Artificial Intelligence Approach to Breast Cancer Classification Book
Author : Priyanka Vaidya
Publisher : Unknown
Release : 2009
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

"Breast cancer is the second most common form of cancer amongst females and also the fifth most cause of cancer deaths worthwide. In case of this particular type of malignancy, early detection is the best form of cure and hence timely and accurate diagnosis of the tumor is extremely vital. Extensive research has been carried out on automating the critical diagnosis procedure as various machine learning algorithms and software tools have been deployed to aid physicians in optimizing the decision task effectively. In this research, we present a novel matrix of an artificial neural network system to effectively classify breast cancer tumors as either malignant or benign. This classification system makes use of both clinical as well as genetic data. Artificial neural networks of different architectures are incorporated in the system to classify both the image based clinical dataset as well as the microarray dataset derived from blood cells. Both the datasets are subjected to indificual analysis to compute the optimum number of input features to the neural network matrix. Randomly selected sample instances from both the clinical and microarray original datasets then serve as an input to the Dempster-Shafer theory of evidence block where the outputs are fused to provide a final diagnostic assessment and compared with the neural network analysis. The results indicate that the fused output of the Dempster-Shafer block significantly outperform the individual classifier's outputs."--Abstract.

Artificial Intelligence

Artificial Intelligence Book
Author : Sandeep Reddy
Publisher : CRC Press
Release : 2020-12-02
ISBN : 1000216845
Language : En, Es, Fr & De

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Book Description :

The rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to an increasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration, and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.

Healthcare and Artificial Intelligence

Healthcare and Artificial Intelligence Book
Author : Bernard Nordlinger,Cédric Villani,Daniela Rus
Publisher : Springer Nature
Release : 2020-03-17
ISBN : 3030321614
Language : En, Es, Fr & De

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Book Description :

This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic “AI” might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.

Artificial Intelligence for Data Driven Medical Diagnosis

Artificial Intelligence for Data Driven Medical Diagnosis Book
Author : Deepak Gupta,Utku Kose,Bao Le Nguyen,Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
Release : 2021-01-28
ISBN : 3110668386
Language : En, Es, Fr & De

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Book Description :

This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.

Artificial Intelligence Cancer Diagnoshb

Artificial Intelligence Cancer Diagnoshb Book
Author : Suri EL-BAZ
Publisher : Unknown
Release : 2022-05-02
ISBN : 9780750335935
Language : En, Es, Fr & De

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Book Description :

Download Artificial Intelligence Cancer Diagnoshb book written by Suri EL-BAZ, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Artificial Intelligence and Machine Learning An Issue of Neuroimaging Clinics of North America E Book

Artificial Intelligence and Machine Learning   An Issue of Neuroimaging Clinics of North America  E Book Book
Author : Reza Forghani
Publisher : Elsevier Health Sciences
Release : 2020-10-23
ISBN : 0323712452
Language : En, Es, Fr & De

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Book Description :

This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza Forghani. Articles will include: A Brief History of Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural Language Processing; Artificial Intelligence & Stroke Imaging: An East Coast Perspective; Artificial Intelligence & Stroke Imaging: A West Coast Perspective; Artificial Intelligence Applications for Brain Tumor Imaging; Diverse Applications of Artificial Intelligence in Neuroradiology; Artificial Intelligence Applications for Head and Neck Imaging; Artificial Intelligence Applications for Predictive Analytics and Workflow Optimization; Artificial Intelligence, Advanced Visualization, and 3D Printing; Ethical & Legal Considerations for Artificial Intelligence; Comprehensive (or 360) Artificial Intelligence: Beyond Image Interpretation Alone, and more!

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine Book
Author : IntroBooks Team
Publisher : IntroBooks
Release : 2021-06-17
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence (AI) opened a new horizon for human civilization. It is being used in different fields from detective agencies to medicines. And it has made things a lot easier than it was in the earlier days. Artificial Intelligence is basically using the knowledge of complex methods and algorithms in order to analyze things. Now how does it help in medicines and healthcare? Well, using artificial intelligence in medical fields is basically using the knowledge of complex methods and algorithms and estimating the human cognition by analyzing the complicated medical data. More specifically or precisely, Artificial Intelligence in the medical field is the concluding medical state by analyzing the complicated medical data with a computer algorithm.