Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine reviews the benefits of biomedical technologies and advancements in individualized medicine, with applications in cardio-oncology.Illustrations of work involving machine learning and natural language processing help readers understand and maximize the benefits of artificial intelligence (AI) algorithms, with integration of AI and digital health technologies into the clinical workflow for personalized patient care, research, and provider and patient education.In 31 chapters, Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine introduces the emergent medical field at the interface of cardiology and oncology, "cardio-oncology", and describes prevention, screening and surveillance, followed by several chapters on the role of the applications of digital health, telemedicine, and AI in cardio-oncology precision care. The book also highlights many medical society guidelines and evidence-based recommended pathways for equitable digital health deployment and utilization in cardio-oncology care. This book anticipates that AI algorithms and innovative health tools have the potential to address, and does not have to widen, the already existing healthcare disparities, including inequalities related to race, ethnicity, gender, socioeconomic level, health insurance status, linguistic and cultural barriers, systemic discrimination, and healthcare access.This book provides valuable practical guidance for healthcare professionals, scientists, learners, and patients to integrate digital health platforms into their clinical practice, research, and patient engagement models, fit for individual use and also for multi-stakeholder groups from academia, technology, and industry, with shared interests in applying Innovation (Digital Health, mHealth, Telemedicine, Telehealth, Informatics, Precision Health, Computational Medicine, Social Media, Artificial Intelligence including Machine Learning, Deep Learning, Natural Language Processing, and Neural Networks, & more) to Cardiology and Oncology clinical practice, research, and education.. Addresses cardiovascular complications from cancer treatment with greater precision and individualization due to advances in personalized medicine, AI, including machine learning.. Presents successful methods and tools for preventing and managing cardiovascular disease in cancer patients.. Provides solidified practical best practices relating to innovation technologies and precision in Cardio-Oncology.. Includes insights and reports on various collaborative projects from the Cardiology Oncology Innovation Network (COIN) network members and colleagues, among a variety of other innovators, including applications of AI and informatics in Cardiology, Oncology, and especially Cardio-Oncology.
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978-0-443-29830-1 (9780443298301)
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ContributorsAbout the editorForewordPrefaceAcknowledgmentsCancer & the heart: The inevitable danceCHAPTER 1: Introduction to cardio-oncologyAlan H. Baik, Brenton Bauer and Craig J. BeaversIntroductionCurrent applications/practiceCardiovascular risk across the spectrum of cancer and cardiovascular diseaseSpecific considerations in cardio-oncologyTraditional chemotherapyTargeted therapiesImmunotherapyRadiotherapyFuture predictions/directionsSummary/conclusionsCase studies/examplesMultiple choice Q&AReferencesCHAPTER 2: Innovation tools and technologies in cardio-oncologyUnwam E. Jumbo, Cameron Otto, John Rickards, James MacLeod, Jessica Olson, and Sherry-Ann BrownIntroductionRevolutionizing patient care: Digitalization and artificial intelligence in cardio-oncologyBridging cardio-oncology disparities through digitalizationInformation sharingEducation and learningTools for digitalizing cardio-oncological processesThe role of telehealthThe role of artificial intelligenceThe role of precision medicineThe role of informaticsCurrent applications/practiceFuture predictions/directionsSummary/conclusionsCase studies/examplesMultiple choice Q&AReferencesCHAPTER 3: The place of cardio-oncology in oncologyVivek Agarwala, Nibedita Sen, Susan Dent, Aruni Ghose, Elexis B. Price, John Rickards, Evandro de Azambuja, and Sherry-Ann BrownIntroductionRationale for cardio-oncologyTerminologiesReverse cardio-oncologyConcept of bi-directional cardio-oncologyThe neurohormonal hypothesisThe "inflammatory milieu" hypothesisRole of cardio-oncology in radiation oncologyCardio-oncology in medical oncologyAnthracyclines mediated cardiac injuryHarnessing the cardiotoxic effects of HER2 therapyFluoropyrimidines (e.g., fluorouracil and capecitabine)TaxanesTyrosine kinase inhibitorsVascular endothelial growth factor signaling pathway inhibitorsImmune checkpoint inhibitorsHormonal agentsNovel agentsCardio-oncology in hematological malignancies and transplantMyeloma drugsRole of cardio-oncology in surgical oncologyCurrent cardio-oncology applicationsBaseline cardiovascular risk assessment before starting cancer treatmentCardioprotective strategiesConcept of permissive cardiotoxicitySummary/conclusionsCase studies/examplesMultiple choice Q&AReferencesCHAPTER 4: Prevention, screening, and surveillance in cardio-oncologyAlexi Vasbinder, Hugo Martinez, and Michelle BloomIntroductionCardiovascular risk assessment and screeningTraditional cardiovascular risk factorsCancer treatmentsCardiac imaging and other cardiac testingCardiac biomarkersClinical risk scoresScreening guidelinesSurveillance strategies during and after cancer treatmentMonitoring guidelines during cancer therapySurveillance after completing cancer therapyThe role of prevention in cardio-oncologyPatient-related risk modification and prevention in cardio-oncologyCancer therapy-related risk modification and prevention in cardio-oncologyCardiovascular pharmacology approaches to prevent cancer treatment-related LV dysfunctionOther considerations for prevention in patients with cancerCurrent applications/practiceFuture predictions/directionsSummary/conclusionsCase studies/examplesMultiple choice Q&AReferencesCHAPTER 5: Innovations in pediatric cardio-oncologyNeha Bansal, Heang Lim, and Steven E.
