Healthcare 5.0 promises a significant shift in individualised healthcare services for assisted living, propelled by developments such as the IoT, big data analytics, AI, and electronic health systems. This chapter analyses how these technologies affect care delivery in assisted living facilities. IoT technology, such as cognitive sensors, allows continuous monitoring, boosting safety and ensuring prompt responses in crucial situations. AI and machine learning enhance personalised care by employing predictive analytics to anticipate health issues and adjust medication regimens, including medication, nutrition, and exercise. Telemedicine facilitates remote consultations, which improves healthcare accessibility and allows for fast changes to treatment plans. Big data analytics integrate vast amounts of health information to enable personalised medicine by designing therapies based on individual genetic profiles and health histories. Although these innovations significantly enhance healthcare, it is critical to address issues like data quality, privacy concerns, decreased human participation, and the cost and accessibility of these technologies to realise their promise fully. This chapter provides a detailed evaluation of the current and future implications of healthcare 5.0 technology for assisted living. It offers healthcare practitioners, technologists, lawmakers, and patients valuable insights. <!----> <!----> <!----> <!---->

Artificial intelligence is revolutionising health care, offering innovative management of diseases, medication, and rehabilitation care. This chapter explains the revolutionary impact of artificial intelligence on these three fundamental domains in terms of how it affects early diagnosis and risk assessment, treatment personalisation, and the dynamic monitoring of chronic conditions in real time. AI systems can track patterns and make accurate predictions by probing voluminous amounts of data and intricate algorithms, thus leading to more precise and timely intervention. AI improves the correctness of prescriptions, tracks patients' adherence, anticipates adverse drug reactions and makes medication safer and more effective. AI-based tools analyse patients' data to maximise the selection and dosing of the drug, thus minimising risks of medication errors and furthering therapeutic outcomes. In addition, AI can constantly monitor the patient and inform the healthcare provider about the potential problems before they worsen. Personalised rehabilitation programs track the patient's progress and offer adaptive therapies for individual needs. Intelligent rehabilitation systems can adapt therapy regimens based on real-time feedback, providing patients with a more effective treatment regimen. AI allows remote rehabilitation so patients can enjoy quality home care and increase access to and adherence to rehabilitation protocols. This chapter summarises the practical benefits and challenges of integrating AI in healthcare. It will strive to comprehensively understand how AI is shaping the future of healthcare by making it more efficient, effective, and patient-centric. It aims to educate and inspire healthcare professionals, researchers, and policymakers to embrace AI technologies and pool the best from various disciplines to further innovation and improve care. <!----> <!----> <!----> <!---->