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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Artificial IntelligenceBased System Models in Healthcare: A New Paradigm for Survival In today's rapidly evolving world, technology plays a vital role in shaping our lives. One of the most significant technological advancements in recent years has been the development of artificial intelligence (AI) based system models in healthcare. These models have revolutionized the way we diagnose, treat, and prevent diseases, making healthcare more efficient and effective. However, as we embrace these new technologies, it is essential to understand the process of their evolution and how they can impact our society. This article will explore the need to study and comprehend the technological process of developing modern knowledge as the foundation for human survival and unity in a war-torn world. The Evolution of AI-Based System Models in Healthcare The healthcare industry has witnessed tremendous changes over the past decade, with AI-based system models leading the charge. These models use machine learning algorithms to analyze vast amounts of data, identify patterns, and make predictions. They have enabled healthcare professionals to provide personalized patient care, streamline clinical workflows, and improve patient outcomes.
Модели систем на основе искусственного интеллекта в здравоохранении: Новая парадигма выживания В современном быстро развивающемся мире технологии играют жизненно важную роль в формировании нашей жизни. Одним из наиболее значительных технологических достижений последних лет стала разработка системных моделей на основе искусственного интеллекта (ИИ) в здравоохранении. Эти модели произвели революцию в способах диагностики, лечения и профилактики заболеваний, сделав здравоохранение более эффективным и действенным. Однако, принимая эти новые технологии, важно понимать процесс их эволюции и то, как они могут повлиять на наше общество. В этой статье будет рассмотрена необходимость изучения и осмысления технологического процесса развития современных знаний как основы выживания и единства человека в раздираемом войной мире. Эволюция системных моделей на основе ИИ в здравоохранении За последнее десятилетие в отрасли здравоохранения произошли огромные изменения, и системные модели на основе ИИ стали лидерами. Эти модели используют алгоритмы машинного обучения для анализа огромных объемов данных, выявления закономерностей и составления прогнозов. Они позволили медицинским работникам обеспечить индивидуальный уход за пациентами, оптимизировать клинические рабочие процессы и улучшить результаты лечения пациентов.
Modelli di sistema basato sull'intelligenza artificiale nel settore sanitario: un nuovo paradigma di sopravvivenza Nel mondo moderno in rapida evoluzione, la tecnologia è fondamentale per la formazione delle nostre vite. Uno dei progressi tecnologici più importanti degli ultimi anni è stato quello di sviluppare modelli di sistema basati sull'intelligenza artificiale (IA) nel settore sanitario. Questi modelli hanno rivoluzionato la diagnosi, la cura e la prevenzione delle malattie, rendendo l'assistenza sanitaria più efficace ed efficiente. Tuttavia, adottando queste nuove tecnologie, è importante comprendere il loro processo evolutivo e il modo in cui possono influenzare la nostra società. Questo articolo affronterà la necessità di studiare e comprendere il processo tecnologico di sviluppo delle conoscenze moderne come base per la sopravvivenza e l'unità dell'uomo in un mondo devastato dalla guerra. L'evoluzione dei modelli di sistema basati sull'IA nel settore sanitario Negli ultimi dieci anni, il settore sanitario ha subito enormi cambiamenti e i modelli di sistema basati sull'IA sono diventati leader. Questi modelli utilizzano algoritmi di apprendimento automatico per analizzare enormi quantità di dati, individuare schemi e predire. Hanno permesso agli operatori sanitari di fornire assistenza personalizzata ai pazienti, ottimizzare i flussi di lavoro clinici e migliorare i risultati del trattamento dei pazienti.
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