synergizing ai and self-care: navigating healthcare empowerment for vulnerable individuals

Introduction: artificial intelligence (ai) plays a pivotal role in enhancing self-care among vulnerable patients. the purpose of this study was to investigate the role of artificial intelligence on self-care in vulnerable patients.methods: a comprehensive review of existing literature sourced from reputable databases including pubmed, and scopus. keywords such as 'artificial intelligence,' 'self-care,' 'vulnerable patients,' were employed to identify relevant studies. the selected articles were meticulously evaluated based on their relevance, methodology, empirical findings, and alignment with the study's scope.results: the synthesis of existing literature underscores the tangible impact of artificial intelligence (ai) in bolstering self-care for vulnerable patients. ai's capability to analyze intricate medical data and simulate human cognition positions it as a powerful tool for optimizing self-care practices. several pivotal findings underscore ai's contributions: early detection and prediction: ai harnesses data analytics to recognize subtle health changes, enabling early detection of deteriorations in vulnerable patients. this promotes timely interventions and mitigates adverse outcomes. optimal treatment selection: ai-driven algorithms analyze patient data and historical treatment outcomes to recommend personalized, effective treatments, tailoring interventions to individual needs. personalized interventions: ai leverages patient data to generate personalized self-care plans, empowering patients with targeted strategies that align with their unique conditions and preferences. adverse event prediction: by scrutinizing patient data and identifying correlations, ai predicts potential adverse events, allowing proactive measures and preemptive care strategies.: ai provides crucial information to healthcare professionals during care-related decisions, offering data-driven insights to optimize self-care plans and interventions.medical language processing: ai's language processing capabilities enhance accessibility to medical information, aiding in interpreting test results, understanding medical texts, and facilitating effective communication between patients and providers. collectively, ai's potential in augmenting self-care for vulnerable patients holds significant promise for the future of healthcare. through its multifaceted roles, ai empowers patients with tailored self-care strategies while assisting healthcare professionals in delivering optimized care. as ai technology advances, its continued integration into self-care strategies is expected to yield improvements in patient outcomes and healthcare quality.conclusion: ai's roles encompassing early detection, personalized interventions, treatment optimization, adverse event prediction, decision support, and medical language processing hold substantial promise.