About Us
Age of Bones (KemikYaşı in Turkish) is a clinical decision-support product developed by Medikalai Yazılım A.Ş. It estimates skeletal (bone) age from hand-wrist radiographs using deep-learning models, helping physicians and radiology specialists save time.
Medical content lead
Dr. Öğr. Üyesi Mehmet Ali Gedik
Radiologist · Kütahya Şehir Hastanesi · Hacettepe University Faculty of Medicine graduate
A Hacettepe University Faculty of Medicine graduate, Dr. Gedik reads hand-wrist radiographs in daily hospital practice. When you request an expert opinion on this site, he personally reviews your radiograph and writes the bone-age opinion within 1 business day; it is delivered under his name and title.
Clinical accuracy of the methodology, limits and educational content on this site is reviewed by the same radiology specialist. See the methodology page for the published validation results.
Methodology & validation results →Team and scientific basis
- Doç. Dr. Cüneyt Özdemir
- Model architecture and deep learning · Siirt Üniversitesi
- Dr. Öğr. Üyesi Mehmet Ali Gedik
- Radiologist · Kütahya Şehir Hastanesi
The models were developed on the Kütahya hand-wrist radiograph dataset, and the approach rests on the team's peer-reviewed studies on that dataset:
- Özdemir C, Gedik MA, Kaya Y. Age Estimation from Left-Hand Radiographs with Deep Learning Methods. Traitement du Signal. 2021;38(6):1565-1574. doi:10.18280/ts.380601
- Özdemir C, Gedik MA, Küçüker H, Kaya Y. Gender Identification from Left Hand-Wrist X-ray Images with a Hybrid Deep Learning Method. Konya Journal of Engineering Sciences. 2023;11(4):1118-1133. doi:10.36306/konjes.1294139
Our mission
To make bone age assessment faster, more consistent and more accessible — always as a support to, never a replacement for, professional judgment.
Data & security
Images are stored encrypted in the database and accessible only to authorized administrators. We process data in line with KVKK.