Scalable Artificial Intelligence for Healthcare: Advancing AI Solutions for Global Health ChallengesКНИГИ » ПРОГРАММИНГ
Название: Scalable Artificial Intelligence for Healthcare: Advancing AI Solutions for Global Health Challenges Автор: Houneida Sakly, Ramzi Guetari, Naoufel Kraiem Издательство: CRC Press Год: 2025 Страниц: 200 Язык: английский Формат: epub (true) Размер: 10.1 MB
This edited volume examines the transformative impact of Artificial Intelligence (AI) technologies on global healthcare systems, with a focus on enhancing efficiency and accessibility. The content provides a comprehensive exploration of the principles and practices required to scale AI applications in healthcare, addressing areas such as diagnosis, treatment, and patient care.
Key topics include data scalability, model deployment, and infrastructure design, highlighting the use of microservices, containerization, cloud computing, and Big Data technologies in building scalable AI systems. Discussions cover advancements in Machine Learning models, distributed processing, and transfer learning, alongside critical considerations such as continuous integration, data privacy, and ethics. Real-world case studies depict both the successes and challenges of implementing scalable AI across various healthcare environments, offering valuable insights for future advancements.
Continuous integration/continuous deployment (CI/CD) practices play a critical role in advancing Artificial Intelligence in the healthcare sector. By automating integration, testing and deployment, CI/CD pipelines enable continuous improvements in Artificial Intelligence models. With this synergy between CI/CD and AI, healthcare institutions can quickly develop, validate, and implement AI models while meeting legal requirements. Automated pipelines enable rapid validation of model improvements and effective monitoring of model performance in real-time. By integrating CI/CD into the development process, health organizations can achieve faster turnaround times, continuous feedback mechanisms, improved software quality, and reduced development costs. The seamless integration of CI/CD ensures that artificial intelligence systems retain their robustness, reliability, and ability to adapt to changing conditions in healthcare environments.
This volume serves as a practical and theoretical guide for healthcare professionals, AI researchers, and technology enthusiasts seeking to develop or expand on AI-driven healthcare solutions to address global health challenges effectively.
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Scalable Artificial Intelligence for Healthcare: Advancing AI Solutions for Global Health Challenges 
