Combining AI and Non-AI for a Smooth User Experience

Abstract

Cranioplasty implants are commonly used in the treatment of traumatic brain injuries. 3D-printed titanium has emerged as a suitable material for creating these products. However, their design and manufacturing process involves numerous skilled professionals, including designers, printers, finishers, inspectors, and communication liaisons with surgeons. We have developed a system that automates the design process, streamlines communication, and assists all relevant parties in completing their tasks more efficiently. Our system's backend utilizes deep learning algorithms to automatically read and segment CT scans, subsequently generating implant designs. The initial draft of the design is produced within 5 minutes, a significant improvement from the 5–7 days required by a human technician. The fully serverless backend demands minimal IT maintenance and offers robust resilience and security. The frontend, developed using Swift 5, is compatible with iOS, iPadOS, and macOS platforms. The application ensures a secure and convenient data pipeline with end-to-end encryption, visually appealing rendering, and high speed.

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