Revolutionizing Healthcare Treatment with Sensor Technology

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Author :
Release : 2024
Genre : Biosensors
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Book Rating : 130/5 ( reviews)

Revolutionizing Healthcare Treatment with Sensor Technology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Revolutionizing Healthcare Treatment with Sensor Technology write by Sima Das. This book was released on 2024. Revolutionizing Healthcare Treatment with Sensor Technology available in PDF, EPUB and Kindle.

Revolutionizing Healthcare Treatment With Sensor Technology

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Author :
Release : 2024-05-28
Genre : Medical
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Book Rating : /5 ( reviews)

Revolutionizing Healthcare Treatment With Sensor Technology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Revolutionizing Healthcare Treatment With Sensor Technology write by Das, Sima. This book was released on 2024-05-28. Revolutionizing Healthcare Treatment With Sensor Technology available in PDF, EPUB and Kindle. Traditional patient care and treatment approaches often lack the personalized and interactive elements necessary for effective healthcare delivery. This means that the healthcare industry must find innovative solutions to improve patient outcomes, enhance rehabilitation processes, and optimize resource utilization. There is a gap between the traditional approach and the need for innovation that highlights the importance of a comprehensive understanding of emerging technologies, including Kinect Sensor technology, and the potential to transform healthcare practices with this tech. Revolutionizing Healthcare Treatment With Sensor Technology addresses this critical need by thoroughly exploring how Kinect Sensor technology can revolutionize patient care and treatment methodologies. By repurposing and customizing Kinect Sensor for healthcare applications, this book showcases how depth-sensing cameras, infrared sensors, and advanced motion tracking can capture and interpret real-time patient movements and interactions. This book is ideal for healthcare professionals, hospital administrators, researchers, patients, caregivers, and healthcare technology developers seeking to leverage Kinect Sensor technology for enhanced healthcare delivery. Through detailed case studies and practical examples, experts can learn how to integrate Kinect Sensor into various medical settings to gain valuable insights into patients' physical capabilities, monitor their progress, and create personalized treatment plans.

Artificial Intelligence in Healthcare

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Release : 2020-06-21
Genre : Computers
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Book Rating : 396/5 ( reviews)

Artificial Intelligence in Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence in Healthcare write by Adam Bohr. This book was released on 2020-06-21. Artificial Intelligence in Healthcare available in PDF, EPUB and Kindle. Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Healthcare and Medical Apps

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Release : 2018-10-21
Genre :
Kind :
Book Rating : 445/5 ( reviews)

Healthcare and Medical Apps - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Healthcare and Medical Apps write by Paul Love. This book was released on 2018-10-21. Healthcare and Medical Apps available in PDF, EPUB and Kindle. There's a quiet revolution (or maybe "evolution" is more accurate) going on in the healthcare industry.Over the last ten years over 250,000 mobile healthcare apps have appeared on the scene - and that's only the beginning. According to estimates from Zion Market Research the market for mHealth (mobile health) apps will top $100 billion worldwide in 2018. With smartphones and tablets becoming an essential part of our lives it makes sense to provide apps for those devices that can help organize your medical records, monitor your health, alert you to a possible medical problem, and help connect you to a healthcare professional.So how do smartphones function as medical devices? The cameras, microphones, and other sensors built into smartphones are improving all the time and can already be used to help diagnose certain illnesses The microphone for example, can be used to help detect asthma and COPD (Chronic Obstructive Pulmonary Disorder). There are also apps that use the camera and flash to diagnose blood disorders such as iron and hemoglobin deficiency. Smartphones can even by used to detect conditions such as osteoporosis by using the phone's motion sensor.Doctors and medical researchers are also turning to smartphone technology as an efficient way to handle electronic health data. Having patients collect data relating to their medical condition by using a smartphone app can make it much easier for a physician to form a diagnosis and to follow up on the effectiveness of the treatment the patient is undergoing. And that same data collected from many different patients can be a gold mine for medical research personnel, providing them with a massive database of clinical information never available before.This book covers just a few of the many different types of mobile health apps available on the market today. Dozens more (including many that offer new and more advanced technology) are being added everyday. Consider this book a sampler - and, if you're interested in building a mobile health care app yourself, you'll also find some introductory information about building your own app. Welcome to the future of healthcare!

Revolutionizing the Healthcare Sector with AI

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Release : 2024-07-26
Genre : Medical
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Book Rating : /5 ( reviews)

Revolutionizing the Healthcare Sector with AI - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Revolutionizing the Healthcare Sector with AI write by Singla, Babita. This book was released on 2024-07-26. Revolutionizing the Healthcare Sector with AI available in PDF, EPUB and Kindle. The healthcare sector is at a critical juncture, facing the pressing need to integrate generative AI technologies responsibly. Despite the promising benefits, such as improved diagnostics, personalized treatments, and streamlined operations, the adoption of AI in healthcare poses significant challenges. These challenges include ethical dilemmas, regulatory complexities, and the need for governance frameworks to ensure the technology's responsible use. Revolutionizing the Healthcare Sector with AI offers a comprehensive solution to these challenges. It provides a deep dive into the adoption, integration, scalability, and sustainability of generative AI in healthcare and a thorough analysis of governance, ethical, and regulatory issues. By offering insights from researchers, practitioners, patients, and policymakers, this book is a platform for responsible AI adoption in healthcare.