SBIR Phase I - Topic 402 - Artificial Intelligence-Aided Imaging for Cancer Prevention, Diagnosis, and Monitoring

视网膜母细胞瘤是一种罕见的儿童癌症，影响视网膜、视神经和大脑。它占5岁以下儿童所有癌症的6%，是世界上最常见的原发性儿童眼内恶性肿瘤。虽然美国的存活率很高，但早期发现对保护视力至关重要：当症状出现时，摘除眼球通常是唯一的选择。本提案旨在开发IRIS-R，一种智能视网膜成像解决方案，以实现视网膜母细胞瘤的早期检测。这种廉价、无创的筛查工具将利用深度学习的最新进展，近乎实时地检测视网膜肿瘤的迹象。该模型将与手持式无散瞳眼底成像仪集成，为筛查工具提供可靠、廉价的硬件骨干。IRIS-R将在视网膜专家、执业眼科医生和儿科医生的帮助下开发，以保证最大的诊断准确性和临床实用性。

Retinoblastoma is a rare pediatric cancer affecting the retina, optic nerve, and brain. Accounting for 6% of all cancers in children under the age of five, it is the world's most common primary intraocular childhood malignancy. While survival rates in the U.S. are high, early detection is pivotal to preserving vision: by the time symptoms present, enucleation is often the only option. This proposal seeks to develop IRIS-R, an Intelligent Retinal Imaging Solution to enable earlier detection of Retinoblastoma. This inexpensive, noninvasive screening tool will leverage recent advances in deep learning to detect the tell-tale signs of retinal tumors in near real-time. The models will be integrated with a handheld non-mydriatic fundus imager, providing a reliable, inexpensive, hardware backbone for the screening tool. IRIS-R will be developed with help from retinal specialists, practicing ophthalmologists, and pediatricians to guarantee maximum diagnostic accuracy and clinical usefulness.