About Us

Welcome To VisionAiDetect

VisionAiDetect is an innovative startup aiming to revolutionize the healthcare industry through the use of artificial intelligence and image processing technologies. Our primary goal is to optimize diagnostic and treatment processes by offering AI-based solutions in medical imaging and extending these technologies to other industries.

Starting in the healthcare sector, we analyze medical images such as X-rays, MRIs, and CT scans, generating detailed reports that enable doctors to make accurate and timely decisions. These analyses span a wide range of applications, from detecting surgical aids like prosthetics and plates to diagnosing diseases. Additionally, our systems, equipped with automation and precision, streamline medical reporting processes.

At VisionAiDetect, our ambition is not confined to the healthcare industry. We strive to deliver innovations in every field where image processing is possible. With this vision, we create a broad range of applications, from security systems to industrial inspections.

Our Technology

The technology of our project is related to machine learning on image processing using artificial intelligence. It is a flow that progresses by transferring the data that the machine needs to learn, detecting the findings in the x-rays and notifying the user. It keeps the results of these findings in the machine database and creates success statistics. By calculating how many findings there are in how many X-rays, a percentage is calculated. In this way, it increases the confidence of the user. The main sequence of the flow is :

Teach data to the machine.

The taught machine detects the findings.

Detected findings are detected and recorded in the database for success percentage.

OUR AIM

Artificial Intelligence for Orthopedic Implant Recognition and Classification
This project aims to develop an AI-driven system for the automated identification and classification of orthopedic implants in radiographic images. Traditional manual verification methods are time-consuming and prone to inconsistencies, making automated solutions essential for efficiency and accuracy in healthcare. Utilizing a large dataset of labeled X-ray images, the system employs deep learning algorithms to detect implant presence, categorize implant types, and identify specific components with high precision. This innovation has significant implications for healthcare providers, insurance systems, and regulatory bodies by ensuring accurate billing, minimizing errors, and streamlining workflows. Additionally, the system aids in surgical planning by providing precise implant identification for revision procedures, ultimately improving patient outcomes. By integrating artificial intelligence with clinical expertise, this initiative represents a step forward in the digital transformation of medical imaging, offering a scalable and efficient solution to a critical challenge in orthopedic healthcare.

Our Vision

To be a global pioneer in the healthcare industry with AI-powered medical imaging solutions. Supporting digital transformation in orthopedic healthcare services, improving patient care with innovative and scalable solutions, increasing the efficiency of healthcare systems and becoming a reference point in medical technologies.

Our Mission

To develop an innovative system that enables automatic identification and classification of orthopedic implants in X-ray images using artificial intelligence technologies. This system aims to improve patient outcomes, reduce the workload of healthcare providers and optimize surgical planning processes by increasing accuracy, speed and efficiency in the healthcare sector. It also aims to add holistic value to the healthcare ecosystem by improving accuracy in insurance and regulatory processes.