Clinical trials

The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction).

This observational study evaluates cervical proprioception using a computer vision-based system developed with OpenCV and MediaPipe. Healthy adults will perform a series of head movements while their nose tip is tracked by a camera. The primary objective is to assess the accuracy of neck position and movement perception. Data will be analyzed to determine the reliability of the tracking system. The study is non-invasive, involves no interventions, and poses minimal risk to participants. Findings may support the development of accessible diagnostic tools for clinical and research applications.

The purpose of this study is a pre-test-post-test, randomized controlled experimental study with a control group, planned to examine the effect of the mindfulness-based self-compassion program applied on women with breast cancer on spiritual well-being and self-compassion levels.