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Application Of Artificial Intelligence In Early Detection Of Lung Cancer
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Book Synopsis Application of Artificial Intelligence in Early Detection of Lung Cancer by : Madhuchanda Kar
Download or read book Application of Artificial Intelligence in Early Detection of Lung Cancer written by Madhuchanda Kar and published by Elsevier. This book was released on 2024-05-17 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Application of Artificial Intelligence in Early Detection of Lung Cancer presents the most up-to-date computer-aided diagnosis techniques used to effectively predict and diagnose lung cancer. The presence of pulmonary nodules on lung parenchyma is often considered an early sign of lung cancer, thus using machine and deep learning technologies to identify them is key to improve patients’ outcome and decrease the lethal rate of such disease. The book discusses topics such as basics of lung cancer imaging, pattern recognition techniques, deep learning, and nodule detection and localization. In addition, the book discusses risk prediction based on radiological analysis and 3D modeling. This is a valuable resource for cancer researchers, oncologists, graduate students, radiologists, and members of biomedical field who are interested in the potential of AI technologies in the diagnosis of lung cancer. Provides an overview of the latest developments of artificial intelligence technologies applied to the detection of pulmonary nodules Discusses the different technologies available and guides readers step-by-step to the most applicable one for the specific lung cancer type Describes the entire study design on prediction of lung cancer to help readers apply it to their research successfully
Book Synopsis A Systematic Review of the Use of Artificial Intelligence in Early and Accurate Diagnosis for Lung and Breast Cancer by : Elena Luu
Download or read book A Systematic Review of the Use of Artificial Intelligence in Early and Accurate Diagnosis for Lung and Breast Cancer written by Elena Luu and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Background: This systematic review examines how the use of artificial intelligence compares to conventional methods in the early detection and accuracy of diagnosing lung and breast cancer. Methods: A comprehensive systematic review was conducted using Google Scholar, ScienceDirect, MDPI Journals, PubMed, JAMA Network, The Lancet Digital Health, Frontiers, Journal of Patient Safety, Thorax, NPJ Breast Cancer, BMC, and Nature Medicine. The inclusion criteria were artificial intelligence models or components of artificial intelligence detecting or classifying breast or lung cancer and articles published within the last five years. The study excluded articles that did not include either breast or lung cancer. The results were compiled into a table based on the key data gathered, such as accuracy, specificity, sensitivity, or P-value. Results: A total of 15 studies were reviewed, eight of the articles were on breast cancer, and seven of the articles were on lung cancer. Each study showed an improvement in their results of accuracy, specificity, and sensitivity. One article gave a confidence score of 63% and two other articles gave a significant P-value
Book Synopsis Current and Future Application of Artificial Intelligence in Clinical Medicine by : Jie Yang
Download or read book Current and Future Application of Artificial Intelligence in Clinical Medicine written by Jie Yang and published by Bentham Science Publishers. This book was released on 2021-06-01 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current and Future Application of Artificial Intelligence in Clinical Medicine presents updates on the application of machine learning and deep learning techniques in medical procedures. . Chapters in the volume have been written by outstanding contributors from cancer and computer science institutes with the goal of providing updated knowledge to the reader. Topics covered in the book include 1) Artificial Intelligence (AI) applications in cancer diagnosis and therapy, 2) Updates in AI applications in the medical industry, 3) the use of AI in studying the COVID-19 pandemic in China, 4) AI applications in clinical oncology (including AI-based mining for pulmonary nodules and the use of AI in understanding specific carcinomas), 5) AI in medical imaging. Each chapter presents information on related sub topics in a reader friendly format. The combination of expert knowledge and multidisciplinary approaches highlighted in the book make it a valuable source of information for physicians and clinical researchers active in the field of cancer diagnosis and treatment (oncologists, oncologic surgeons, radiation oncologists, nuclear medicine physicians, and radiologists) and computer science scholars seeking to understand medical applications of artificial intelligence.
Book Synopsis Applications of Artificial Intelligence in Healthcare and Biomedicine by : Abdulhamit Subasi
Download or read book Applications of Artificial Intelligence in Healthcare and Biomedicine written by Abdulhamit Subasi and published by Elsevier. This book was released on 2024-03-22 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: ??Applications of Artificial Intelligence in Healthcare and Biomedicine provides ?updated knowledge on the applications of artificial intelligence in medical image analysis. The book starts with an introduction to Artificial Intelligence techniques for Healthcare and Biomedicine. In 16 chapters it presents artificial applications in Electrocardiogram (ECG), Electroencephalogram (EEG) and Electromyography (EMG), signal analysis, Computed Tomography (CT), Magnetic Resonance Imaging (MR) and Ultrasound image analysis. It equips researchers with tools for early breast cancer detection from mammograms using artificial intelligence (AI), AI models to detect lung cancer using histopathological images and a deep learning-based approach to get a proper and faster diagnosis of the Optical Coherence Tomography (OCT) images. It also presents present 3D medical image analysis using 3D Convolutional Neural Networks (CNNs). Applications of Artificial Intelligence in Healthcare and Biomedicine closes with a chapter on AI-based approach to forecast diabetes patients' hospital re-admissions. This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about the applications of Artificial Intelligence and its impact in medical/biomedical image analysis. Provides knowledge on Artificial Intelligence algorithms for clinical data analysis Gives insights into both AI applications in biomedical signal analysis, biomedical image analysis, and applications in healthcare, including drug discovery Equips researchers with tools for early breast cancer detection
Book Synopsis Detection Systems in Lung Cancer and Imaging by : Ayman S. El-Baz
Download or read book Detection Systems in Lung Cancer and Imaging written by Ayman S. El-Baz and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on major trends and challenges in the detection of lung cancer, presenting work aimed at identifying new techniques and their use in biomedical analysis. This volume covers recent advancements in lung cancer and imaging detection and classification, examining the main applications of computer aided diagnosis relating to lung cancer: lung nodule segmentation, lung nodule classification, and Big Data in lung cancer.
Book Synopsis Artificial Intelligence in Breast Cancer Early Detection and Diagnosis by : Khalid Shaikh
Download or read book Artificial Intelligence in Breast Cancer Early Detection and Diagnosis written by Khalid Shaikh and published by Springer Nature. This book was released on 2020-12-04 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Artificial Intelligence in Positron Emission Tomography by : Xiaoli Lan
Download or read book Artificial Intelligence in Positron Emission Tomography written by Xiaoli Lan and published by Frontiers Media SA. This book was released on 2022-03-02 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Using Supervised Machine Learning for Early Lung Cancer Detection by : Jessica Vo
Download or read book Using Supervised Machine Learning for Early Lung Cancer Detection written by Jessica Vo and published by . This book was released on 2020 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: In 2018, the top three most common cancer types in the United States were breast cancer, lung cancer, and prostate cancer, in descending order. In 2019, approximately 13% of new cancer types are derived from lung cancer. Most late diagnosed cases are caused by hidden genetic variants and other subjective factors, such as smoking. In this study, we focus on applying supervised machine learning techniques (logistic regression, random forest, gradient boosting, extreme gradient boosting, support vector machine, and Bayesian additive regression trees) to the microarray gene expression data in order to detect those inherited factors which are most correlated to lung cancer development in the Caucasian smoking population. The model validation metrics are the area under the receiver operating characteristic curve, accuracy, sensitivity, specificity, recall, and precision percentages. The most effective model was found to be gradient boosting, which gives the highest prediction power (97.9%), with a recall of 90.9% and a precision of 90.9%.
Book Synopsis Applications of Artificial Intelligence in Medical Imaging by : Abdulhamit Subasi
Download or read book Applications of Artificial Intelligence in Medical Imaging written by Abdulhamit Subasi and published by Academic Press. This book was released on 2022-11-10 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Artificial Intelligence in Cancer by : Smaranda Belciug
Download or read book Artificial Intelligence in Cancer written by Smaranda Belciug and published by Academic Press. This book was released on 2020-06-18 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Healthcare and Artificial Intelligence by : Bernard Nordlinger
Download or read book Healthcare and Artificial Intelligence written by Bernard Nordlinger and published by Springer Nature. This book was released on 2020-03-17 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence in Medical Imaging by : Erik R. Ranschaert
Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Cancer Prediction for Industrial IoT 4.0 by : Meenu Gupta
Download or read book Cancer Prediction for Industrial IoT 4.0 written by Meenu Gupta and published by CRC Press. This book was released on 2021-12-31 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective explores various cancers using Artificial Intelligence techniques. It presents the rapid advancement in the existing prediction models by applying Machine Learning techniques. Several applications of Machine Learning in different cancer prediction and treatment options are discussed, including specific ideas, tools and practices most applicable to product/service development and innovation opportunities. The wide variety of topics covered offers readers multiple perspectives on various disciplines. Features • Covers the fundamentals, history, reality and challenges of cancer • Presents concepts and analysis of different cancers in humans • Discusses Machine Learning-based deep learning and data mining concepts in the prediction of cancer • Offers real-world examples of cancer prediction • Reviews strategies and tools used in cancer prediction • Explores the future prospects in cancer prediction and treatment Readers will learn the fundamental concepts and analysis of cancer prediction and treatment, including how to apply emerging technologies such as Machine Learning into practice to tackle challenges in domains/fields of cancer with real-world scenarios. Hands-on chapters contributed by academicians and other professionals from reputed organizations provide and describe frameworks, applications, best practices and case studies on emerging cancer treatment and predictions. This book will be a vital resource to graduate students, data scientists, Machine Learning researchers, medical professionals and analytics managers.
Book Synopsis Artificial Intelligence and Precision Oncology by : Zodwa Dlamini
Download or read book Artificial Intelligence and Precision Oncology written by Zodwa Dlamini and published by Springer Nature. This book was released on 2023-01-21 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the use of artificial intelligence (AI), big data and precision oncology for medical decision making in cancer screening, diagnosis, prognosis and treatment. Precision oncology has long been thought of as ideal for the management and treatment of cancer. This strategy promises to revolutionize the treatment, control, and prevention of cancer by tailoring tests, treatments and predictions to specific individuals or population groups. In order to accomplish these goals, vast amounts of patient or population group specific data needs to be integrated and analysed to be able to identify key patterns or features which can be used to define or characterize the disease or the response to the disease in these individuals. These patterns or features can be as varied as molecular patterns or features in medical images. This level of data analysis and integration can only be achieved through the use of AI. The book is divided into three parts starting with a section on the use of artificial intelligence for screening, diagnosis and monitoring in precision oncology. The second part: Artificial intelligence and Omics in precision oncology, highlights the use of AI and epigenetics, metabolomics, microbiomics in precision oncology. The third part covers artificial intelligence in cancer therapy and its clinical applications. It also highlights the use of AI tools for risk prediction, early detection, diagnosis and accurate prognosis. This book, written by experts in the field from academia and industry, will appeal to cancer researchers, clinical oncologists, pathologists, medical students, academic teaching staff and medical residents interested in cancer research as well as those specialising as clinical oncologists.
Book Synopsis Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems by : Deepshikha Agarwal
Download or read book Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems written by Deepshikha Agarwal and published by CRC Press. This book was released on 2023-07-31 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector. Features: Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc Discusses an artificial intelligence perspective on wearable technology Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG) Elaborates machine learning models for early diagnosis of depressive mental affliction This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.
Book Synopsis The Use of Natural Language Processing and Machine Learning for Early Diagnosis of Lung and Ovarian Cancer by : Grace Turner
Download or read book The Use of Natural Language Processing and Machine Learning for Early Diagnosis of Lung and Ovarian Cancer written by Grace Turner and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer is a serious diagnosis and diagnostic delay is correlated with reductions in survivalrates following treatment. For many cancers, providers can only rely on symptoms and signs to diagnose patients. These details are recorded primarily free text clinical notes. Natural language processing (NLP) can be used to extract symptoms/signs from these notes for population level diagnosis screening. This creates opportunity for machine learning to alert providers earlier in the diagnostic process using existing, but easily overlooked information. Thus, the focus of this thesis was to determine opportunities for reducing diagnostic delayin ovarian and lung cancer. A symptom extraction model trained on a primarily COVID-19 population was adapted to lung and ovarian cancer populations. The model then extracted symptoms/signs from a retrospective case-control study (ovarian) developed as part of this work as a well a leveraged study (lung). Symptom frequencies for ovarian cancer were then explored across different routes to diagnosis. Finally, this thesis developed experiments using machine learning models to predict lung and ovarian cancer prior to diagnosis. This work showed early prediction using symptoms was only possible on the lung cohort. Nevertheless, both cohorts had significantly higher “next step” recommendations in cases as compared to controls, even 6 months prior to diagnosis.
Book Synopsis Biomarkers in Oncology by : Heinz-Josef Lenz
Download or read book Biomarkers in Oncology written by Heinz-Josef Lenz and published by Springer Science & Business Media. This book was released on 2012-09-18 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This integrated book covers the entire spectrum of cancer biomarkers in development and clinical use. Predictive and prognostic markers are explored in the context of colon cancer, breast cancer, lung cancer, prostate cancer, and GIST. International experts provide insight into toxicity markers and surrogate markers. Attention is also given to biomarker assay development, validation, and strategies. A powerful tool for determining decisions on therapy, selecting drug regimens, monitoring the efficacy of treatment, and performing individualized surveillance, biomarkers represent the forefront of cancer research and treatment. As these technologies become increasingly available for clinical use, this book will be an essential resource for oncologists and translational researchers.
