Website: www.godento.com,
Feedback e-mail:: godentobg[@]gmail.com
Representative: Dr. Nedelcho Sitnov – Manager
Contact phone number: +359888333484
Brief summary of the organization (business card)
GoDento is a leading provider of dental office management systems with an advanced ERP structure dedicated to improving the operational efficiency and clinical performance of dental clinics. We serve over 200 of the largest dental clinics in the country, covering the needs of more than 2 million patients. Our cutting-edge technology integrates deep AI models offering unparalleled image recognition capabilities from dental x-rays. This innovative approach supports accurate diagnosis and the formation of effective treatment plans, thereby raising the standard of patient care.Our expertise in AI-powered image recognition sets us apart, enabling dental professionals to detect and diagnose conditions with greater accuracy and confidence.
INTRODUCING INNOVATIVE TECHNOLOGY PRODUCTS AND SERVICES
Product / Service #1
AI – artificial intelligence to turn phone calls into text and search them by keywords
Cloud software Go Dento is deploying artificial intelligence that turns phone calls into text and can search them by a given keyword. This makes it easier to select specific groups of patients, and can understand how many of them are interested in a particular service or manipulation.
Product / Service #2
ERP system
A business ERP system that successfully combines the management of all business processes in a dental clinic, files patient records and has an implemented marketing environment to successfully orchestrate the entire business.
Product / Service #3
Deciphering X-ray images from Artificial Intelligence
Artificial intelligence (AI) can analyze and interpret dental radiographs with a high degree of accuracy, identifying potential problems and abnormalities that may be missed by the human eye. AI systems can quickly process and analyze large amounts of data, allowing dentists to make informed decisions faster and treat patients more efficiently, reducing the risk of human error or bias that can affect diagnostic results.