Fenerbahçe University

Turkish Translation and Cultural Adaptation of the Motor Planning Maze Assessment (MPMA)

Date presented: April 23, 2026 Primary Author and Speaker: Zeynep Özdemir, zeynepozdemir03@icloud.com

Design and Expert-Based Usability Evaluation of a Smart Mobile Application for Aphasia Rehabilitation

Background/Objectives: This paper aims to develop an artificial intelligence-assisted mobile application using speech recognition and image processing technologies to address language difficulties experienced by individuals with aphasia. Methods: The mobile application was develo...

Residual sequential attention and class-imbalance learning for multi-class peripheral blood cell classification

Abstract Peripheral blood cell classification is challenging when severe class imbalance coincides with fine visual differences among maturation stages and morphologically related cell types. This study investigates a residual sequential attention framework built on ResNeSt50 and...

Quercetin From Ocimum Basilicum L. Differentially Affects PC‐12 Survival in 2D and 3D Culture

ABSTRACT Alteration of cellular environment from 3D body conditions to traditional 2D culture is one of the main contributors to failure in the transition of many drug candidates into clinical success as it is associated with bioavailability, activity, and toxicity. As a well‐kno...

Stroboscopic Versus Traditional Balance Training in Female Volleyball Players With Chronic Ankle Instability: A Randomized Controlled Trial

Background: Chronic ankle instability (CAI) causes recurrent sprains, reduced proprioception, and impaired postural control, negatively affecting volleyball performance. Stroboscopic glasses-based balance training can enhance sensorimotor control by manipulating visual input. Hyp...

Self-reported AI literacy and AI anxiety as correlates of AI attitudes among speech-language therapy students in Türkiye: a cross-sectional study

Abstract Background Self-reported artificial intelligence (AI) literacy and AI anxiety may be associated with how future speech-language therapists evaluate AI, but evidence specific to this population is limited. Methods This cross-sectional survey examined the independent assoc...

Level of Knowledge on Rare Diseases: A Cross-Sectional Study Among Future Healthcare Professionals

Aim: This study aimed to assess knowledge levels regarding rare diseases among health sciences students in Turkey as it is thought that these knowledge levels may be limited, and this situation may be associated with various risks in terms of early diagnosis, patient safety, and...

Unsupervised Multivariate Analysis of Gait Characteristics and Body Composition in Physiotherapy Students

Aim: Measurements of locomotion performance (through quantitative gait analysis) and of body composition offer detailed information on locomotor and biomechanical functions, respectively. The correlation between gait features and body composition among physiotherapy students has...

Clinical Decision Support via ChatGPT: An Evidence-Based Perspective in Pediatric Occupational Therapy

Aim: This study aims to evaluate the accuracy of ChatGPT’s responses to clinical questions related to Cerebral Palsy (CP) and Autism Spectrum Disorder (ASD) in the field of occupational therapy, as well as the reliability of the references it provides.Method: Ten clinical questio...