Pocket-Dentist: On-Device Dental Image Understanding via Efficient Multimodal Large Language Models

ArXi:2605.29299v1 Announce Type: cross Evaluations of dental vision-language models remain fragmented across datasets, task definitions and metrics, and often ignore their computational cost. This limits their widespread deployment for dental screening outside specialist centres, where timely inference, limited hardware, and local handling of patient images are vital for practical, privacy-preserving clinical prescreening.