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DATA DRIVEN HEARTS ¿ AI and ML in CARDIOVASCULAR CARE

About DATA DRIVEN HEARTS ¿ AI and ML in CARDIOVASCULAR CARE

The book "Data Driven Hearts: AI and ML in Cardiovascular Care" explores the relationship between cutting-edge technology and cardiovascular care, emphasizing how AI is revolutionizing the field. Understanding cardiovascular disorders, risk factors, pathophysiology, and conventional diagnostic techniques are all covered. The book also explores the use of AI in medical imaging for cardiovascular diagnosis, predictive analytics in risk assessment, and data collecting and preprocessing.The diagnostic utility of electrocardiography (ECG), data preprocessing, classification of arrhythmias, and the possibility of continuous monitoring via tele-ECG are covered. Challenges, computational screening, virtual drug design, target identification, the function of clinical trials, and drug repurposing are also covered, in addition to personalized therapy suggestions.The ethical implications of AI and ML in healthcare are also covered in the book, along with issues related to patient privacy, legal frameworks, and the function of medical ethics committees.

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  • Language:
  • English
  • ISBN:
  • 9786207453313
  • Binding:
  • Paperback
  • Pages:
  • 196
  • Published:
  • December 18, 2023
  • Dimensions:
  • 150x12x220 mm.
  • Weight:
  • 310 g.
Delivery: 1-2 weeks
Expected delivery: December 12, 2024
Extended return policy to January 30, 2025

Description of DATA DRIVEN HEARTS ¿ AI and ML in CARDIOVASCULAR CARE

The book "Data Driven Hearts: AI and ML in Cardiovascular Care" explores the relationship between cutting-edge technology and cardiovascular care, emphasizing how AI is revolutionizing the field. Understanding cardiovascular disorders, risk factors, pathophysiology, and conventional diagnostic techniques are all covered. The book also explores the use of AI in medical imaging for cardiovascular diagnosis, predictive analytics in risk assessment, and data collecting and preprocessing.The diagnostic utility of electrocardiography (ECG), data preprocessing, classification of arrhythmias, and the possibility of continuous monitoring via tele-ECG are covered. Challenges, computational screening, virtual drug design, target identification, the function of clinical trials, and drug repurposing are also covered, in addition to personalized therapy suggestions.The ethical implications of AI and ML in healthcare are also covered in the book, along with issues related to patient privacy, legal frameworks, and the function of medical ethics committees.

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