Oral cancer poses a significant threat with over 1.3 lakh cases annually, but a mortality rate exceeding 50% is attributed to late detection using outdated methods like conventional oral examination (COE). The reliance on torchlight examination results in challenges locating malignant sites, prompting multiple biopsies, underdiagnosis, and delayed treatment. Affordable and precise clinical adjuncts with biopsy guidance can substantially reduce treatment costs and mortality rates.

OralScan, a revolutionary multispectral imaging camera, employs multiple LEDs and a high-resolution monochrome camera to detect changes in tissue autofluorescence and reflected light, crucial for early oral cancer detection. A cloud-based ML algorithm processes real-time images, guiding accurate biopsy and histopathological diagnosis. Implemented by institutions like Tata Memorial Hospital and NGOs such as Ekohum Foundation, OralScan is the world's first handheld intraoral device, offering objective cancer screening, surpassing subjective methods.