معرفی
Assoc. Prof. Dr. Caner Kararti is a faculty member at Kirsehir Ahi Evran University's School of Physical Therapy and Rehabilitation, Department of Physiotherapy and Rehabilitation. He holds the academic rank of Associate Professor since 2025, having progressed from Doctoral Lecturer (2022-2025) and Research Assistant (2017-2022). His educational background includes a PhD in Physiotherapy and Rehabilitation from Kirsehir Ahi Evran University (2021), MSc in Neurology Physiotherapy from Hacettepe University (2018), and Bachelor's degree from Ahi Evran University (2016).
His research spans musculoskeletal rehabilitation with emphasis on shoulder surgery outcomes, knee osteoarthritis management, and biopsychosocial pain models. Recent work explores artificial intelligence applications in rehabilitation, particularly large language models for exercise prescription. His methodology frequently employs randomized controlled trials and cross-cultural adaptation of assessment tools, with significant focus on postural control mechanisms and functional outcome measures.
His publication trends reveal increasing focus on AI integration in rehabilitation (2024-2025), alongside consistent contributions to rotator cuff rehabilitation and pain neuroscience education. Key themes include clinical prediction tools, cross-cultural validation studies, and biomechanical analysis of movement disorders.
- Young Scientist Award (2022) from Kirsehir Ahi Evran University
Dr. Kararti supervises multiple graduate students, with five current theses in progress including investigations on chronic low back pain, knee osteoarthritis AI applications, and neck pain mechanisms. His research portfolio includes four funded projects, notably the ongoing 'Sporcu Sağlığı Araştırma, Uygulama ve Termal Rehabilitasyon (SAUTER) Merkezi' (2018-2026) as researcher. Teaching responsibilities span doctoral courses on neuromusculoskeletal rehabilitation and orthopedic treatment approaches.
He leads the 'Sporcu Sağlığı Araştırma, Uygulama ve Termal Rehabilitasyon' center and collaborates extensively with Selcuk University researchers, particularly in biomechanics and pain management studies. Current work focuses on AI validation in rehabilitation protocols and refining clinical prediction tools for kinesiophobia.