Purpose: The adoption of artificial intelligence (AI) in health care may afford new avenues for personalized and patient-centered care. This systematic review explored the role of AI in symptom monitoring for adult cancer survivors.
Methods: A comprehensive search was performed from inception to November 2023 in seven bibliographic databases and three clinical trial registries.
Background: Worldwide, COVID-19 greatly reduced healthcare accessibility and utilization by non-COVID patients including cancer. This study aimed to quantify and characterize cancer care adjustments experienced by cancer patients/survivors; and to explore their concerns, beliefs, and knowledge regarding COVID-19.
Methods: A cross-sectional study was conducted using a questionnaire distributed through social media patients' groups (June-December 2020).
Background: Stroke, a cerebrovascular disease, is one of the major causes of death. It causes significant health and financial burdens for both patients and health care systems. One of the important risk factors for stroke is health-related behavior, which is becoming an increasingly important focus of prevention.
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