Computer-aided design and fabrication of nasal prostheses: a semi-automated algorithm using statistical shape modeling.
T BanninkM de RidderS BoumanMaarten J A van AlphenRobert L P van VeenMichiel W M van den BrekelM Barıs KarakullukçuPublished in: International journal of computer assisted radiology and surgery (2024)
This method provides a promising approach for both temporary and definitive nasal prostheses, with the potential for remote prosthesis fabrication in areas lacking anaplastology care. While new skills are required for data acquisition and algorithm control, these technologies are increasingly accessible. Further clinical studies will help validate its effectiveness, and ongoing technological advancements may lead to even more advanced and skill-independent prosthesis fabrication methods in the future.
Keyphrases
- machine learning
- deep learning
- low cost
- tissue engineering
- healthcare
- chronic rhinosinusitis
- randomized controlled trial
- big data
- palliative care
- systematic review
- electronic health record
- high throughput
- current status
- artificial intelligence
- neural network
- locally advanced
- risk assessment
- chronic pain
- medical students
- climate change