BOOKS - Artificial Intelligence-Based System Models in Healthcare
Artificial Intelligence-Based System Models in Healthcare - A. Jose Anand, K. Kalaiselvi, Jyotir Moy Chatterje 2024 PDF Wiley-Scrivener BOOKS
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Artificial Intelligence-Based System Models in Healthcare
Author: A. Jose Anand, K. Kalaiselvi, Jyotir Moy Chatterje
Year: 2024
Format: PDF
File size: 30.4 MB
Language: ENG



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The book "Artificial IntelligenceBased System Models in Healthcare" explores the potential of artificial intelligence (AI) in healthcare, highlighting its ability to revolutionize the field by improving patient outcomes, streamlining clinical workflows, and reducing costs. The authors delve into the various applications of AI in healthcare, including machine learning, natural language processing, and computer vision, and discuss their potential impact on medical imaging, drug discovery, and patient engagement. They also examine the challenges and limitations of AI in healthcare, such as data privacy and security concerns, the need for high-quality training data, and the risk of bias in algorithms. The book begins by discussing the evolution of technology and its impact on society, emphasizing the importance of understanding the technological process of developing modern knowledge as the basis for human survival and unity in a warring state. The authors argue that AI has the potential to transform healthcare by providing personalized medicine, improving diagnosis accuracy, and optimizing treatment plans. However, they also acknowledge the limitations of AI and the need for caution in its implementation, particularly in areas where human judgment is still essential.
Книга «Системные модели на основе искусственного интеллекта в здравоохранении» исследует потенциал искусственного интеллекта (ИИ) в здравоохранении, подчеркивая его способность революционизировать эту область путем улучшения результатов лечения пациентов, оптимизации клинических рабочих процессов и сокращения затрат. Авторы углубляются в различные применения ИИ в здравоохранении, включая машинное обучение, обработку естественного языка и компьютерное зрение, и обсуждают их потенциальное влияние на медицинскую визуализацию, обнаружение лекарств и вовлечение пациентов. Они также изучают проблемы и ограничения ИИ в здравоохранении, такие как проблемы конфиденциальности и безопасности данных, необходимость высококачественных обучающих данных и риск предвзятости в алгоритмах. Книга начинается с обсуждения эволюции технологий и их влияния на общество, подчёркивая важность понимания технологического процесса развития современных знаний как основы выживания и единства человека в воюющем государстве. Авторы утверждают, что ИИ может трансформировать здравоохранение, предоставляя персонализированную медицину, повышая точность диагностики и оптимизируя планы лечения. Тем не менее, они также признают ограничения ИИ и необходимость осторожности в его реализации, особенно в областях, где человеческое суждение все еще имеет важное значение.
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