KELLSKELLS Second Opinion Review is a tool that leverages Artificial Intelligence and remote dentists' expertise to provide a comprehensive analysis of a patient's dental condition and treatment plans. Users submit their dental records, such as X-rays and treatment plans, which are then evaluated by an AI system capable of identifying potential dental anomalies that may not be easily detected by human eyes. This initial AI-based review is further refined by remote dentists, improving the overall accuracy. Based on the reviewed data, KELLS gives unbiased, personalized treatment recommendations. The system verifies and confirms conditions like fillings, root canal, crowns, implants, extractions, dentures/partials, and deep cleaning/gum disease. The aim of this tool is to offer a virtual way for patients to get second opinions on their dental conditions and treatment plans, making the decision-making process more informed and less overwhelming.
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X-ray InterpreterX-ray Interpreter is an AI-powered tool for precise interpretation of X-rays. It provides an automated analysis of various types of X-ray images including chest, dental, abdominal, pelvic, skull, neck, thoracic-spine, lumbar-spine, hand, foot, leg, arm, knee, shoulder, elbow, bone-age, ankle and wrist X-rays, aiding medical diagnostics. The users can upload clear X-ray images onto the secure platform, which in turn, generates a preliminary interpretation report instantaneously using advanced AI techniques. It offers a credit-based system for obtaining interpretations, where each credit is equivalent to one image interpretation. It's important to note that while X-ray Interpreter offers a high degree of accuracy, it should not replace professional medical advice and is to be used as a supplementary tool. The service prioritizes user privacy, ensuring all uploaded X-ray images are securely stored and privately viewable. Moreover, if an image cannot be interpreted for any reason, no credits are deducted. Payments made are secure with the service committing to fairness and possible restoration of credits if unjustly deducted.