New System Combines Advanced Optical Imaging with AI Algorithm to Accurately Identify Brain Tumors
Researchers from the NYU Grossman School of Medicine (New York, NY, USA) and the University of Michigan (Ann Arbor, MI, USA) have developed a novel method of combining advanced optical imaging with an artificial intelligence (AI) algorithm to produce accurate, real-time intraoperative diagnosis of brain tumors. The imaging technique, stimulated Raman histology (SRH), reveals tumor infiltration in human tissue by collecting scattered laser light, illuminating essential features not typically seen in standard histologic images. The microscopic images are then processed and analyzed with AI, allowing surgeons to see a predicted brain tumor diagnosis in less than three minutes. Using the same technology, after the resection, the surgeons can accurately detect and remove otherwise undetectable tumor.