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E-book: Internet of Medicine for Smart Healthcare

Edited by (Bahara University Waknaghat Himachal Pradesh India), Edited by (Chandigarh University Punjab India), Edited by (Manipal University Jaipur India), Edited by (Sophia Girls' College (Autonomous) Ajmer India), Edited by (Vivekananda Global University Jaipur India)
  • Format: PDF+DRM
  • Pub. Date: 10-Dec-2024
  • Publisher: Wiley-Scrivener
  • Language: eng
  • ISBN-13: 9781394272259
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  • Price: 224,77 €*
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Internet of Medicine for Smart HealthcareLarger Image
  • Format: PDF+DRM
  • Pub. Date: 10-Dec-2024
  • Publisher: Wiley-Scrivener
  • Language: eng
  • ISBN-13: 9781394272259
Other books in subject:

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This book provides in-depth explanations and discussions of the latest applications of Artificial Intelligence (AI), machine learning, and the Internet of Medicine, offering readers the cutting edge on this rapidly growing technology that has the potential to transform healthcare and improve patient outcomes.

Over the past five years, there have been significant advances in healthcare through the use of artificial intelligence (AI) and machine learning (ML) technologies. AI and machine learning in medical imaging has significantly improved the accuracy and speed of medical imaging analysis, accelerated the drug discovery process by identifying potential drug targets and predicting the efficacy and safety of new drugs, and enabled personalized medicine by analyzing large amounts of patient data to identify individualized treatment plans based on a patient’s genetic makeup and medical history. Internet of Medicine (IoM) refers to the integration of the Internet of Things (IoT) and connected medical devices with healthcare systems and processes to enable remote monitoring, diagnosis, and treatment of patients. IoM is a subset of the larger Internet of Things concept, which involves the connection of everyday devices and appliances to the internet for various purposes. IoM has the potential to revolutionize healthcare by improving patient outcomes, reducing costs, and increasing efficiency. Some of the specific applications of IoM include remote patient monitoring, real-time data analysis, predictive analytics, smart hospitals, and personalized medicine.

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