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2 clinical studies listed.
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Tundra lists 2 Health Screening clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.
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NCT06819722
The Effect of Parents' Health Literacy on Primary School Students' Health Screening Results
Health literacy (HL) is defined by the World Health Organization (WHO) as "the achievement of a level of knowledge, personal skills, and confidence to take action to improve individual and community health by changing personal lifestyles and living conditions". Health literacy is described as a concept encompassing various skills that enhance individuals' quality of life, such as accessing accurate health information, developing healthy living behaviours, utilizing healthcare services, and making health-related decisions. To improve the health literacy of society, it is essential first to identify and enhance the health literacy of families, the smallest unit of the community. Adult family members are responsible for their health and play a critical role in fostering healthy behaviours in their children and addressing their health needs. Aim: Health screenings, particularly for the early diagnosis of health issues in children, are crucial for health preservation and the creation of a healthy society in the future. Therefore, the aim of this study is to determine the health literacy of parents and its impact on the health screening results of students.
Gender: All
Updated: 2026-05-18
NCT06910956
Deep Learning Using Chest X-Rays to Identify High Risk Patients for Lung Cancer Screening CT
The goal of this clinical trial is to evaluate whether an AI tool that alerts providers to patients at high 6-year risk of lung cancer based on their chest x-ray images will improve lung cancer screening CT participation. The main question it aims to answer is: Does the AI tool improve lung cancer screening CT participation at 6 months after the baseline outpatient visit? The intervention is an alert to the provider to discuss lung cancer screening CT eligibility, for patients considered at high risk of lung cancer based on CXR-LC AI tool. Intervention and non-intervention arms will be compared to determine if lung cancer screening CT participation increases. Individuals who are considered high-risk by the tool, but who do not meet the Medicare/USPSTF pack-year or quit-date lung screening eligibility criteria may be offered research lung screening CT.
Gender: All
Ages: 50 Years - 77 Years
Updated: 2026-05-11
1 state