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AI Solutions In Health
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New generation solutions in healthcare
In this period when artificial intelligence has entered every aspect of our lives, starting from the fields of sound, image and text processing, as Medikalai, we are developing artificial intelligence solutions in health. We add speed, accuracy and added value to healthcare services with next-generation solutions with our own data sets, algorithms and multidisciplinary team.
Bone age determination decision support system
Decision support system for detecting tuberculosis bacillus in sputum smear
Our planned projects that will be online soon
- ABOUT US
Artificial intelligence in health diagnosis...
As a result of the revolutionary developments in hardware, software and machine learning in recent years, artificial intelligence products have started to take place in every aspect of our lives. MedikalAI was established in 2022 to be a pioneer in technology and artificial intelligence and to develop AI systems in health. Its main goal is to develop artificial intelligence decision support systems in health and to create original products in this field. 3 scientists whom one radiologist and 2 engineers. Co-founders Assoc. Prof. PhD. Yılmaz Kaya Md. Radiologist Mehmet Ali Gedik PhD. Cüneyt Özdemir
- Our products
Services we provide as Medical AI
You can use the links below to get information about our products and product details. Do not forget to contact us for more information.
MEB-AI
MET-AI
- Bone Age
• Bone age determination decision support system (CBADSS) for under 18 years of age
• Bone age determination decision support system (ABADSS) for people over 18 years of age
Very high accuracy compared to traditional methods (margin of error is 3.5 months in children and 2 years in adults)
First bone age estimation method in adults from wrist radiographs for forensic medicine and anthropology
Bone age assessment in seconds
Support for radiology physicians in decision-making processes
Ease in child development follow-up in hospitals without a radiology physician
Low radiation dose compared to traditional methods
Bone age determination from left wrist X-rays
The dataset used for the bone age determination decision support system was collected from all geographical regions of Türkiye.
Bone age can be used in growth and development follow-up, forensic medicine, pediatric endocrinology, and orthopedics in children under 18 years of age.
For the first time in the world, it is a decision support system for determining bone age in adults, which we developed with our own data set for those over 18 years of age.
High accuracy compared to traditional methods in forensic medicine processes
- MET-AI
Evaluating the presence of Tbc bacilli in sputum smears.
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Fast results in seconds
High specificity
Supporting microbiologists in the decision process
High accuracy