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Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine

Editat de Sherry-Ann Brown
en Limba Engleză Paperback – 27 mar 2025
Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine examines the benefits of big data analysis and future advancements in individualized medicine in cardio-oncology. The book helps readers understand and maximize the benefits of existing AI algorithms by integrating AI and digital health technologies into the clinical workflow, exploring AI orchestration, testing of AI applications, processing steps, active involvement and collaboration of qualified employees, and many other factors. The book introduces cardio-oncology and describes the prevention, screening and surveillance in cardio-oncology, followed by several chapters on the emerging role of the applications of mHealth, telemedicine and Artificial intelligence in cardio-oncology.

The book also highlights many societal and evidence-based recommended pathways for equitable digital health deployment and utilization in cardio-oncology care. It anticipates that exposing the potential for AI algorithms and innovative health tools widens the already existing healthcare disparities, including inequalities related to race, ethnicity, gender, socioeconomic level, lack of health insurance, linguistic and cultural barriers, systemic discrimination, and limited healthcare access.

  • Addresses cardiovascular complications from cancer treatment, discusses innovative tools for greater precision and individualization, due to advances in personalized medicine and AI, including machine learning
  • Gives insights in successful methods and tools for preventing cardiovascular disease in cancer patients
  • Provides solidified practical best practices relating to innovation technologies and precision in Cardio-Oncology
  • includes reports on various collaborative projects from the Cardiology Oncology Innovation Network (COIN) network members and colleagues
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Specificații

ISBN-13: 9780443298295
ISBN-10: 0443298297
Pagini: 440
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE