Clinical Research Directory

Generative AI-Assisted Teaching and Clinical Reasoning Among TCM Interns

This study evaluated the effects of generative artificial intelligence (GAI)-assisted education on clinical reasoning performance among traditional Chinese medicine (TCM) interns. An assessor-blinded, nonrandomized, cluster-controlled educational intervention study was conducted at three hospital branches in Taiwan. Participants were assigned to either a GAI-assisted education group or a conventional education group according to their clinical training sites. The intervention group received a three-hour introductory training session on ChatGPT and was encouraged to use the tool independently for clinical case analysis during subsequent clinical rotations. The control group received conventional clinical education without structured GAI-assisted training. The primary outcome was clinical reasoning performance, assessed through clinical case reports independently evaluated by two blinded TCM educators. Secondary outcomes included perceptions of the four-element TCM diagnostic framework and perceptions of GAI-assisted learning.

Clinical Evaluation of Bioflx Crowns in Restoring Primary Anterior Teeth

This randomized controlled clinical trial evaluates and compares the clinical success and performance of prefabricated Bioflx crowns versus conventional Celluloid strip crowns in the restoration of badly decayed or traumatized primary anterior teeth.

Virtual Biopsy Development to Identify Patient's Glioma Grade at the CHU of Poitiers Using Magnetic Resonance Imaging

Glioma is a tumor of the central nervous system. These lesions are sorted with the WHO ranking regarding the tumoral oncotype. The tumoral MRI assessment is the first step before any medical decision. Currently, only anatomical biopsy can give the tumor grade definition and help to define the most adapted treatment.

AI-Based Clinical Orientation for Nursing Students

Aim: This experimental study aims to investigate the impact of an Artificial Intelligence (AI)-based orientation program on the clinical orientation process of nursing students during their pediatric nursing clinical practice.Materials and Methods: The study population will consist of 186 third-year nursing students enrolled in the spring semester at a state university. The sample will include 90 students (45 intervention, 45 control) who meet the study criteria and volunteer to participate. Students in the intervention group will receive an AI-based clinical orientation program, while the control group will receive no additional intervention beyond the standard faculty and hospital orientation. Data will be collected between February and March 2026 using a "Descriptive Information Form," the "Clinical Adaptation Scale for Student Nurses," and the "Therapeutic Communication Skills Scale for Nursing Students" in a pre-test/post-test design.Statistical Analysis: Data will be analyzed using SPSS 25.0. Descriptive statistics (frequency, percentage, mean, and standard deviation) will be used. Normality will be assessed via Kolmogorov-Smirnov/Shapiro-Wilk tests. For group comparisons, Chi-square, ANOVA, independent samples t-test, Mann-Whitney U, and Wilcoxon tests will be utilized. The statistical significance level will be set at $p \< 0.05$.Ethical Considerations: Ethical committee approval and necessary permissions from scale authors will be obtained before the study begins. Informed consent will be collected from all participants after explaining the study objectives.Keywords: Orientation training, nursing, student, artificial intelligence, clinical practice.

Postoperative Clinical and Neurophysiological Assessment of Patients After Open Heart Surgery

This study aims to investigate postoperative clinical, cognitive and neurophysiological assessment of patients after open heart surgery among sample of Egyptian patients.