Introduction: Mobile health is an emerging technology around the world that can be effective in cancer screening. This study aimed to examine the effectiveness of mobile health applications on cancer screening. Methods: We conducted a systematic literature review of studies related to the use of mobile health applications in cancer screening. We also conducted a comprehensive search of articles on cancer screening related to the use of mobile health applications in journals published between January 1, 2008, and January 31, 2019, using 5 databases: IEEE, Scopus, Web of Science, Science Direct and PubMed. Results: A total of 23 articles met the inclusion criteria and were included in the present review. All studies have identified positive effects of applications on cancer screening and clinical health outcomes. Furthermore, more than half of mobile applications had multiple functions such as providing information, planning and education. Moreover, most of the studies, which examined the satisfaction of patients and quality improvement, showed healthcare application users have significantly higher satisfaction of living and it leads to improving quality. Conclusion: This study found that the use of mobile health applications has a positive impact on health-related behaviours and outcomes. Application users were more satisfied with applying mobile health applications to manage their health condition in comparison with users who received conventional care.

Objective: Electronic patient-reported outcome (ePRO) systems hold promise for revolutionizing communication between cancer patients and healthcare providers across various care settings. This systematic review explores the multifaceted landscape of ePROs in cancer care, encompassing their advantages, disadvantages, potential risks, and opportunities for improvement. Methods: In our systematic review, we conducted a rigorous search in Scopus, Web of Science, and PubMed, employing comprehensive medical subject heading terms for ePRO and cancer, with no date limitations up to 2024. Studies were critically appraised and thematically analyzed based on inclusion and exclusion criteria, including considerations of advantages, disadvantages, opportunities, and threats. Findings: Analyzing 85 articles revealed 69 themes categorized into four key areas. Advantages ( n = 14) were dominated by themes like “improved quality of life and care.” Disadvantages ( n = 26) included “limited access and technical issues.” Security concerns and lack of technical skills were prominent threats ( n = 10). Opportunities ( n = 19) highlighted advancements in symptom management and potential solutions for technical challenges. Conclusion: This review emphasizes the crucial role of continuous exploration, integration, and innovation in ePRO systems for optimizing patient outcomes in cancer care. Beyond traditional clinical settings, ePROs hold promise for applications in survivorship, palliative care, and remote monitoring. By addressing existing limitations and capitalizing on opportunities, ePROs can empower patients, enhance communication, and ultimately improve care delivery across the entire cancer care spectrum.

Introduction: Recent advancements in generative AI, exemplified by ChatGPT, hold promise for healthcare applications such as decision-making support, education, and patient engagement. However, rigorous evaluation is crucial to ensure reliability and safety in clinical contexts. This scoping review explores ChatGPT’s role in clinical inquiry, focusing on its characteristics, applications, challenges, and evaluation. Methods: This review, conducted in 2023, followed PRISMA-ScR guidelines (Supplemental Digital Content 1, http://links.lww.com/MS9/A636). Searches were performed across PubMed, Scopus, IEEE, Web of Science, Cochrane, and Google Scholar using relevant keywords. The review explored ChatGPT’s effectiveness in various medical domains, evaluation methods, target users, and comparisons with other AI models. Data synthesis and analysis incorporated both quantitative and qualitative approaches. Results: Analysis of 41 academic studies highlights ChatGPT’s potential in medical education, patient care, and decision support, though performance varies by medical specialty and linguistic context. GPT-3.5, frequently referenced in 26 studies, demonstrated adaptability across diverse scenarios. Challenges include limited access to official answer keys and inconsistent performance, underscoring the need for ongoing refinement. Evaluation methods, including expert comparisons and statistical analyses, provided significant insights into ChatGPT’s efficacy. The identification of target users, such as medical educators and nonexpert clinicians, illustrates its broad applicability. Conclusion: ChatGPT shows significant potential in enhancing clinical practice and medical education. Nevertheless, continuous refinement is essential for its successful integration into healthcare, aiming to improve patient care outcomes, and address the evolving needs of the medical community.

Introduction: The popularity of mobile phone applications (Apps) and wearable devices for medical and health purposes is on the rise, but not all the mobile health (mHealth) innovative solutions that hit the news every day will sustain and have an impact on the health of people. The aim of this news-based horizon scanning study was to explore and identify new and emerging mobile technologies that are likely to impact the future of health and medical care.Methods: We conducted a systematic search on top ranking technology websites, according to Alexa Ranking, to identify health-related mobile-based technologies. We followed the EuroScan guide for horizon scanning, which recommends four steps: identification, filtering, prioritization, evaluation and conclusion. Technologies of interest were mHealth technologies regardless of their maturity level. The impact of technologies was assessed and scored in four areas: user, technology, safety, and cost.Results: Five hundred news articles were identified through the electronic search. After screening, 106 mHealth innovative technologies were included in this study. We categorized the included technologies into three groups: mobile apps (n=37), smart-connected devices (n=19), and wearables (n=50). mHealth technologies were most frequently developed for preventive health services, mental health services and rehabilitation services. There was no remarkable difference between the technology groups in terms of safety and adverse effects, but the groups were significantly different in terms of the target population, technology, and cost.Conclusion: An increasing number of solutions based on mobile technology is being developed by both public and private sectors but a low proportion of them undergo proper scientific evaluations. Despite the commercial availability of many innovative mobile apps, wearables, and smart connected devices, few of them have been actually used in clinics, hospitals, and health centers. There is a clear need for changes in healthcare service models to unlock the full potential of these innovative technologies.

Introduction: Patients with colorectal cancer experience disabilities and complications that lead to reduced quality of life. To reduce the symptoms and complications of the disease, reduce the costs, and increase the quality of life, patients should manage and control their disease. The aim of this study was to identify the ...