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

SBIR 第一阶段 - 主题 402 - 用于癌症预防、诊断和监测的人工智能辅助成像

• 批准号: 10347281
• 负责人: WILLIAM BOOKER
• 金额: $ 4.95万
• 依托单位: BABEL ANALYTICS LLC
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-16 至 2021-06-15
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10347281
• 关键词: Accounting; Affect; Age; Artificial Intelligence; Brain; Clinical; Country; Databases; Diagnosis; Early Diagnosis; Fundus; Image; Intelligence; Malignant Childhood Neoplasm; Modeling; Monitor; Ophthalmologist; Optic Nerve; Phase; Retina; Retinal Neoplasms; Retinoblastoma; Sampling; Screening procedure; Sensitivity and Specificity; Small Business Innovation Research Grant; Specialist; Survival Rate; Symptoms; Time; Training; Vertebral column; Vision; cancer imaging; cancer prevention; deep learning; diagnostic accuracy; fundus imaging; imager; pediatrician; preservation; retinal imaging

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.

视网膜母细胞瘤是一种罕见的儿科癌症，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眼内儿童恶性肿瘤。虽然美国的存活率很高，但早期发现对于保护视力至关重要：当症状出现时，眼球摘除通常是唯一的选择。该提案旨在开发IRIS-R，这是一种智能视网膜成像解决方案，可以更早地检测视网膜母细胞瘤。这种廉价的非侵入性筛查工具将利用深度学习的最新进展，近实时地检测视网膜肿瘤的迹象。这些模型将与手持式非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。