Produktbild: Leveraging AI and ML in Cardiovascular Diagnosis and Management
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Leveraging AI and ML in Cardiovascular Diagnosis and Management

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.04.2027

Herausgeber

Rosaline Mishra + weitere

Verlag

Elsevier

Seitenzahl

200

Maße (L/B)

23,5/19,1 cm

Sprache

Englisch

ISBN

978-0-443-52751-7

Beschreibung

Portrait

Dr. Rosaline Mishra is a highly experienced and accomplished academic with over 14 years of teaching and research experience. She completed her PhD at Uttarakhand Technical University, a government-established university in Uttarakhand, India. She has published more than 50 technical publications in top international and national journals and conferences. She also holds three patents, two registered with the Government of India and one registered with the Government of South Africa. Dr. Mishra serves as a reviewer for several international journals indexed in the Web of Science. She was conferred the Dynamic Professor of the Year Award at the Education Excellence Awards in April 2023, organized by Kites Kraft Productions.

Dr. Radha Goel is working as Professor at Lloyd Institute of Management and Technology, Greater Noida, Uttar Pradesh. She has 20 years of academic and research experience. She is an alumnus of Jamia Hamdard, Hamdard University, New Delhi, one of India’s Best Research Institutes. Dr. Radha received the Best Teacher Award under ‘Overall Category’ by Dr. APJ Abdul Kalam University, Lucknow in 2022. She received a research grant and a travel grant from Abdul Kalam Technical University, Lucknow. She has published more than 30 scientific research, reviewed many chapters and articles in imperative journals, 4 patents published, 2 patents granted , and authored 4 books. She has been a peer reviewer as well as an editorial board member of several reputed journals.

Dr. Praveen Kumar Gaur is serving as Principal and Professor at Metro College of Health Sciences & Research (MCHSR-Pharmacy), Greater Noida. He has more than 16 years of experience in teaching graduate and postgraduate students. Dr. Gaur serves on the editorial boards of several International journals across a range of fields including nanotechnology, transdermal Drug Delivery and, Novel Drug Delivery Systems. He has received the Visvesvaraya Research Promotion Scheme (VRPS) research grant by the Honorable Chief Minister of Uttar Pradesh Shri Yogi Adityanath funded by Dr. A.P.J. Abdul Kalam Technical University, Lucknow.

Dr. Mohd Nazam Ansari is an Assistant Professor in the Department of Pharmacology at Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia. He earned a PhD in Pharmacology from Jamia Hamdard, New Delhi. Earlier, he worked as a Project Associate on a UGC-funded major research project. He is a life member of the Indian Pharmacological Society and a member of the Indian Society for Technical Education. He also serves as a reviewer for several journals across pharmacology and related fields. His honors include a travel grant for young pharmacologists and an UGC scholarship; he is registered with the Delhi Pharmacy Council. He has led numerous research projects, published extensively, and contributed abstracts to scientific journals and meetings. He has participated in various workshops and training programs to advance his expertise.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.04.2027

Herausgeber

Verlag

Elsevier

Seitenzahl

200

Maße (L/B)

23,5/19,1 cm

Sprache

Englisch

ISBN

978-0-443-52751-7

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Leveraging AI and ML in Cardiovascular Diagnosis and Management
  • 1. Introduction to AI and ML in Cardiovascular Medicine
    2. Fundamentals of Machine Learning for Cardiovascular Applications
    3. AI-Driven Cardiovascular Imaging: Techniques and Innovations
    4. Predictive Analytics for Cardiovascular Risk Stratification
    5. AI in Heart Failure Management
    6. Deep Learning for Arrhythmia Detection and Classification
    7. Wearable Devices and AI for Real-Time Cardiovascular Monitoring
    8. Deep Learning for Precision Cardiovascular Medicine
    9. AI in Neurocardiology: The Heart-Brain Axis
    10. Clinical Decision Support Systems Powered by AI
    11. Addressing Bias, Privacy, and Ethical Challenges in AI-Powered Cardiology
    12. Clinical Trials and Validation of AI Tools in Cardiovascular Medicine
    13. Case Studies: Successful AI Implementations in Cardiovascular Care
    14. Future Directions: Digital Twins, Multi-omics Integration, and Predictive Analytics
    15. Regulatory Landscape and Policy Considerations for AI in Cardiology