CT Read

CT Read is an AI-driven platform designed to assist non-medical users, such as patients, caregivers, or general practitioners without specialized radiology training, in interpreting medical imaging studies. The system processes X-rays, CT scans, MRI scans, ultrasound images, and PET scans, accepting both standard image formats like JPG and PNG as well as DICOM files, the industry standard for medical imaging. Users can upload images by clicking or dragging and dropping them directly into the web interface. Once an image is submitted, the underlying artificial intelligence model analyzes the visual data, identifying anatomical structures, potential abnormalities, and notable features. Within seconds, it generates a plain-language report that describes the findings, highlights areas of concern, and provides contextual explanations tailored to a lay audience. The platform supports multi-modality analysis, meaning a single upload can handle different types of scans without requiring separate tools or configurations. The reports produced by CT Read are intended to give users a preliminary understanding of what a medical image might indicate, but they explicitly do not replace professional medical diagnosis. The tool is particularly useful for individuals who want a second opinion, need rapid insights while waiting for a specialist, or wish to better understand complex imaging results before consulting a doctor. For example, a patient who has just received an X-ray for a suspected fracture can upload the image and receive a description of bone alignment, possible break lines, and soft tissue swelling. Similarly, someone with a chest CT scan might get notes on lung nodule characteristics or signs of infection. CT Read also includes a pricing model and a credit system, where us