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Intelligent Systems in Healthcare Monitoring
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Author(s): Swathi Sree (Koneru Lakshmaiah Education Foundation, India), Kishor Kumar Reddy (Stanley College of Engineering and Technology for Women, India), Srinath Doss (Botho Unversity, Botswana)and Avula Mahathi (Stanley College of Engineering and Technology for Women, India)
Copyright: 2025
Pages: 32
Source title:
Integration of AI, Quantum Computing, and Semiconductor Technology
Source Author(s)/Editor(s): Brojo Kishore Mishra (NIST University, Berhampur, India)
DOI: 10.4018/979-8-3693-7076-6.ch015
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Abstract
Artificial Intelligence (AI) and data analysis in healthcare enhance patient outcomes through improvements in diagnosis and treatment planning. By offering healthcare practitioners real-time guidance, systems to support clinical decisions optimise the delivery of care Healthcare 6.0 relies heavily on intelligent systems capable of advanced problem-solving, pattern recognition, and real-time insights. These systems are made possible by AI and ML. Virtual health assistants, robotic surgery, personalized medicine, and predictive analytics are a few examples of intelligent systems in the healthcare industry. Utilizing AI, these solutions boost patient out-comes, decrease errors, and streamline clinical procedures. Healthcare 6.0's intelligent systems' effects on clinical practice, patient involvement, healthcare economics, and related fields are covered in detail in the sections that follow. Stakeholders will acquire a thorough grasp of the threats, opportunities, and current de-velopments in this revolutionary era of healthcare through in-depth examination
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