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Precision Medicine And Artificial Intelligence

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Precision Medicine and Artificial Intelligence

Precision Medicine and Artificial Intelligence Book
Author : Michael Mahler
Publisher : Academic Press
Release : 2021-04-01
ISBN : 032385432X
Language : En, Es, Fr & De

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Book Description :

Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on AI, its link to PM, and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as artificial intelligence (AI) has gained significant attention in the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems has enabled the generation of large amounts of data, making autoimmunity an ideal target for AI in the field of Precision Medicine (PM). More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large data sets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. Allows the readers to get a good overview of the field of Precision Medicine for autoimmune diseases and Artificial Intelligence Provides background, milestone and examples of precision medicine for autoimmune disease and artificial intelligence Proves the paradigm shift towards precision medicine driven by value-based systems Discusses future applications of precision medicine research using artificial intelligence

Artificial Intelligence for Drug Development Precision Medicine and Healthcare

Artificial Intelligence for Drug Development  Precision Medicine  and Healthcare Book
Author : Mark Chang
Publisher : CRC Press
Release : 2020-05-12
ISBN : 1000767302
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.

Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine

Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine Book
Author : Tao Zeng,Tao Huang,Chuan Lu
Publisher : Frontiers Media SA
Release : 2020-03-30
ISBN : 2889635546
Language : En, Es, Fr & De

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Book Description :

Download Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine book written by Tao Zeng,Tao Huang,Chuan Lu, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Frontiers in Psychiatry

Frontiers in Psychiatry Book
Author : Yong-Ku Kim
Publisher : Springer Nature
Release : 2019-11-09
ISBN : 9813297212
Language : En, Es, Fr & De

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Book Description :

This book reviews key recent advances and new frontiers within psychiatric research and clinical practice. These advances either represent or are enabling paradigm shifts in the discipline and are influencing how we observe, derive and test hypotheses, and intervene. Progress in information technology is allowing the collection of scattered, fragmented data and the discovery of hidden meanings from stored data, and the impacts on psychiatry are fully explored. Detailed attention is also paid to the applications of artificial intelligence, machine learning, and data science technology in psychiatry and to their role in the development of new hypotheses, which in turn promise to lead to new discoveries and treatments. Emerging research methods for precision medicine are discussed, as are a variety of novel theoretical frameworks for research, such as theoretical psychiatry, the developmental approach to the definition of psychopathology, and the theory of constructed emotion. The concluding section considers novel interventions and treatment avenues, including psychobiotics, the use of neuromodulation to augment cognitive control of emotion, and the role of the telomere-telomerase system in psychopharmacological interventions.

Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare Book
Author : Ankur Saxena
Publisher : Springer Nature
Release : 2021-05-13
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.

Deep Learning for Precision Diagnosis Surgery

Deep Learning for Precision Diagnosis   Surgery Book
Author : Vivek S. Jagadale
Publisher : Notion Press
Release : 2020-04-15
ISBN : 1648056989
Language : En, Es, Fr & De

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Book Description :

Artificial intelligence, smart applications, and virtual assistants are now revolutionizing every area of our lives, including healthcare delivery. This book introduces readers to the latest technological advances in the emerging field of augmented clinical care, machine learning for early diagnosis, and artificial intelligence-assisted precision surgery with orthopedics as a leading example. The applications of these techniques in orthopedic interventions offer many potential benefits, e.g., early diagnosis of elusive complications, precise templating and planning of surgery, systematic execution of the original plan with maximum accuracy, facilitating minimally invasive surgery and improving outcomes. This book is a valuable resource for all healthcare researchers, AI-based software developers and clinicians, on what is needed and what to expect to excel in the future of high-quality patient care. It also outlines why physicians must play a pivotal role in the development of these AI-based applications that will plainly define the future of personalized and cost-effective healthcare delivery for maximum patient safety and satisfaction. May the miracle you need be just around the corner.

Artificial Intelligence in Precision Health

Artificial Intelligence in Precision Health Book
Author : Debmalya Barh
Publisher : Academic Press
Release : 2020-03-04
ISBN : 0128173386
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyze AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health. Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modeling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care and clinical decision support

Artificial Intelligence in Precision Health

Artificial Intelligence in Precision Health Book
Author : Debmalya Barh
Publisher : Academic Press
Release : 2020-01-24
ISBN : 9780128171332
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyse AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modelling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care, and clinical decision support

Precision Health and Medicine

Precision Health and Medicine Book
Author : Arash Shaban-Nejad,Martin Michalowski
Publisher : Springer
Release : 2019-08-01
ISBN : 3030244091
Language : En, Es, Fr & De

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Book Description :

This book highlights the latest advances in the application of artificial intelligence to healthcare and medicine. It gathers selected papers presented at the 2019 Health Intelligence workshop, which was jointly held with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the central issues, challenges, and potential opportunities in the field, along with new research results. By addressing a wide range of practical applications, the book makes the emerging topics of digital health and precision medicine accessible to a broad readership. Further, it offers an essential source of information for scientists, researchers, students, industry professionals, national and international public health agencies, and NGOs interested in the theory and practice of digital and precision medicine and health, with an emphasis on risk factors in connection with disease prevention, diagnosis, and intervention.

Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine Book
Author : Subhi J. Al'Aref,Gurpreet Singh,Lohendran Baskaran,Dimitri Metaxas
Publisher : Academic Press
Release : 2020-11-20
ISBN : 0128202742
Language : En, Es, Fr & De

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Book Description :

Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Precision Medicine in Cardiovascular Disease Prevention

Precision Medicine in Cardiovascular Disease Prevention Book
Author : Seth S. Martin
Publisher : Springer
Release : 2021-07-13
ISBN : 9783030750541
Language : En, Es, Fr & De

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Book Description :

This book contains the current knowledge and potential future developments of precision medicine techniques including artificial intelligence, big data, mobile health, digital health and genetic medicine in the prevention of cardiovascular disease. It reviews the presently used advanced precision medicine techniques and fundamental principles that continue to act as guiding forces for many medical professionals in applying precision and preventative medical techniques in their day-to-day practices. Precision Medicine in Cardiovascular Disease Prevention describes current knowledge and potential future developments in this rapidly expanding field. It therefore provides a valuable resource for all practicing and trainee cardiologists looking to develop their knowledge and integrate precision medicine techniques into their practices.

Precision Medicine for Autoimmune Diseases

Precision Medicine for Autoimmune Diseases Book
Author : Georg Lautscham
Publisher : Academic Press
Release : 2021-06-01
ISBN : 0128227656
Language : En, Es, Fr & De

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Book Description :

Autoimmune diseases have significant economic and social impacts and represent the second-most important market for pharmaceutical companies, which is unsurprising when you consider that, while 1 in 33 Americans will suffer from cancer, 1 in 22 Americans will suffer from an autoimmune disease, costing the US over $100 billion a year. However, the uptake of precision medicine in this area has been slow at best, even though it can be extremely difficult to accurately diagnose and treat patients effectively using the tools that are currently available. If the adoption of precision medicine is to truly gather pace among diseases outside of cancer, there are still several regulatory, technological, and funding-related hurdles to be overcome. Taking lessons learned from within the field of oncology and systematically applying them to areas such as autoimmune disease will enable the development of more effective drugs across a wider range of illnesses. Most importantly, this will lead to a better outcome for patients. Precision Medicine for Autoimmune Diseases summarizes the status, the ongoing activities and provides an outlook to the future. Addresses the fact that only one drug to treat autoimmune diseases was approved by FDA Shows the need to pick up and establish the need of personalized and precision medicine for autoimmune diseases Provides insight on how novel therapies, novel diagnostics and artificial intelligence work better together to advance the field of precision medicine in Autoimmune diseases Helps to establish a precision medicine approach for the benefit of patients, payers and industry

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.

Precision Medicine in Stroke

Precision Medicine in Stroke Book
Author : Ana Catarina Fonseca,José M. Ferro
Publisher : Springer
Release : 2021-05-19
ISBN : 9783030707606
Language : En, Es, Fr & De

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Book Description :

This book provides a comprehensive coverage of the state of the art in precision medicine in stroke. It starts by explaining and giving general information about precision medicine. Current applications in different strokes types (ischemic, haemorrhagic) are presented from diagnosis to treatment. In addition, ongoing research in the field (early stroke diagnosis and estimation of prognosis) is extensively discussed. The final part provides an in-depth discussion of how different interdisciplinary areas like artificial intelligence, molecular biology and genetics are contributing to this area. Precision Medicine in Stroke provides a practical approach to each chapter, reinforcing clinical applications and presenting clinical cases. This book is intended for all clinicians that interact with stroke patients (neurologists, internal medicine doctors, general practitioners, neurosurgeons), students and basic researchers.

Artificial Intelligence Theory Models and Applications

Artificial Intelligence Theory  Models  and Applications Book
Author : P Kaliraj,Devi Thirupathi
Publisher : Auerbach Publications
Release : 2021-10
ISBN : 9781032008097
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence (AI) is a pivotal tool transforming industry and everyday life through intelligent computational systems and applications. AI automates repetitive learning and discovery through data. AI systems can perform high-volume tasks reliably and without fatigue. For this type of automation, human inquiry is still essential to set up the system and ask the right questions. AI adds intelligence to existing products. Automation, conversational platforms, bots and smart machines can be combined with large amounts of data to improve many technologies. AI is everywhere and it plays a significant role in various aspects of life. AI is a critical component of robotic automation, self-driving cars, smart healthcare, defense, and many other technologies and applications. Artificial Intelligence: Theory, Models, and Applications examines the fundamentals and technologies of AI and describes tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains such as healthcare, economics, education, product development, agriculture, human resource management. environment management, and marketing. Highlights of the book include: Gender disparity in the enterprises involved in the development of artificial intelligence-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and applications of using AI in medical imaging as well as the challenges of AI in precision medicine AI's role in the diagnosis of various diseases such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results.

AI for Drug Development and Well being

AI for Drug Development and Well being Book
Author : Mark Chang
Publisher : Unknown
Release : 2020-09-09
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Artificial intelligence (AI) is transforming the practice of medicine. It is helping doctors diagnose patients more accurately, predict treatment effects on individuals, and recommend better treatments. AI is also transforming the drug discovery and development process, helping pharmaceutical researchers to identify and design active drug candidates, and reducing the cost of the clinical testing phase. Recently, the FDA moved toward a new, tailored review framework for artificial intelligence-based medical devices (Gottlieb, April 2019).This book is intended for a broad readership: sufficiently straightforward for college freshmen and informative enough for researchers. Chapter 1 gives a gentle introduction to the five ML categories of learning: supervised, unsupervised, reinforcement, evolutionary and swarm intelligence. Chapters 2 through 6 discuss the key concepts of the main methods in each of the five AI categories and their applications in pharmaceutical research & development and healthcare. Chapter 7 provides a state-of-the-art review of AI applications in prescription drug discovery, development, pharmacovigilance, and healthcare. Chapter 8 discusses artificial general intelligence and its controversies, challenges, and likely future directions. A few equations are included to effectively deliver key concepts and 100 key references are cited to meet researchers' needs. The book is a simplified version of my previous book: Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare. Readers who want to get hands on experiences may explore the book with computer code in R.

Precision Medicine in Cancer Therapy

Precision Medicine in Cancer Therapy Book
Author : Daniel D. Von Hoff,Haiyong Han
Publisher : Springer
Release : 2019-06-17
ISBN : 3030163911
Language : En, Es, Fr & De

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Book Description :

This book presents the latest advances in precision medicine in some of the most common cancer types, including hematological, lung and breast malignancies. It also discusses emerging technologies that are making a significant impact on precision medicine in cancer therapy. In addition to describing specific approaches that have already entered clinical practice, the book explores new concepts and tools that are being developed. Precision medicine aims to deliver personalized healthcare tailored to a patient’s genetics, lifestyle and environment, and cancer therapy is one of the areas in which it has flourished in recent years. Documenting the latest advances, this book is of interest to physicians and clinical fellows in the front line of the war on cancer, as well as to basic scientists working in the fields of cancer biology, drug development, biomarker discovery, and biomedical engineering. The contributing authors include translational physicians with first-hand experience in precision patient care.

Digital Medicine

Digital Medicine Book
Author : Arthur André
Publisher : Springer
Release : 2018-12-13
ISBN : 3319982168
Language : En, Es, Fr & De

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Book Description :

This book provides an up to date user friendly resource on the emerging field of digital medicine and its present and potential future role in modern healthcare. Chapters are written by a specialist on each area in an easy to read format, which broadly covers the potential of digital medicine in epidemiology, precision medicine and surgery. Chapters focus on aspects of telemedicine, the applications of big data, artificial intelligence, blockchain, regenerative medicine, legal aspects and business models. Furthermore, guidance is given on medical ethics and how to manage doctor patient relationships in the modern age. Digital Medicine comprehensively reviews the emerging field of digital medicine in modern healthcare and is therefore a critical resource for physicians and medical trainees who are looking for comprehensive resource on digital medicine and its potential role in modern healthcare.

Next Generation Technology Driven Precission Medicine and Smart Healthcare

Next Generation Technology Driven Precission Medicine and Smart Healthcare Book
Author : Miltiadis D. Lytras,Anna Visvizi,Akila Sarirete
Publisher : Academic Press
Release : 2020-09-01
ISBN : 0128220627
Language : En, Es, Fr & De

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Book Description :

Next Generation Technology Driven Precission Medicine and Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

AI First Healthcare

AI First Healthcare Book
Author : Kerrie L. Holley,Siupo Becker M.D.
Publisher : "O'Reilly Media, Inc."
Release : 2021-04-19
ISBN : 149206310X
Language : En, Es, Fr & De

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Book Description :

AI is poised to transform every aspect of healthcare, including the way we manage personal health, from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a roadmap, and the confidence to support AIin their organizations—without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare’s most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible Using various AI technologies to go beyond precision medicine How to deliver patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and how to identify high-priority AI application