Summary
Utilizing innovative “multi-faceted comprehensive medical care integrated workflows”, this subproject aims to provide seamless comprehensive personalized precision medical care to cancer patients. Building upon the foundations of “pancreatic cancer early detection” and “lung cancer brain metastases precision treatment”. The overall design covers three intertwined and interconnected concepts: clinical data, transformations and integrations, and deployed medical care, to provide personalized comprehensive precision medicine and care.
Advantages
Through data management involving comprehensive consolidation of cancer progress data, intelligent data analysis with precise multimodal AI models, and real world deployment that syncs with medical workflow, amalgamating both the medical workflow and the management workflow into a fully consolidated user-friendly human machine interface, comprising five solutions, (1) early detection and prevention, (2) comprehensive smart interpretation, (3) precision treatment recommendations, (4) long term monitoring and response, and (5) support and care, for the eventual application in clinical settings.
Applications
【Artificial Intelligence-assisted Detection Tool for Pancreatic Cancer-PANCREASaver】
Computed tomography (CT) is the major imaging modality for detection/diagnosis of Pancreatic ductal adenocarcinoma (PDAC), but small PDACs are often obscure, with approximately 40% of tumors <2 cm being missed on CT. We have developed a novel artificial intelligence (AI)-empowered computer-aided detection (CAD) tool, PANCREASaver, to supplement radiologists in detecting PCs. PANCREASaver is a fully automatic end-to-end CAD tool which employs deep learning models to predict whether CT images harbor PC and indicate the predicted location of the PC, without the need for preprocessing of the images by radiologists. It is able to detect 92% of the PDACs missed by radiologists, with 92.1% sensitivity for tumors less than 2 cm.
【Precision Cancer Medicine Advisor -Brain Metastases】
Research has shown that about 20 to 40% of cancers metastasize to the brain. Therefore, using medical image analysis to detect suitable brain metastases patients is an integral part in applying precision medicine to cancer treatment, to determine when stereotactic radiosurgery (SRS) should be applied, in the stead of traditional craniotomy or whole brain radiation therapy which can result in unnecessary risks or possible cognitive impairment. We developed a high precision comprehensive SRS smart solution, for brain metastases early prediction, accurate segmentation, prediction, prognosis and create an automatic labeling system for brain metastases and the surrounding organs, including eyeballs, optic nerves, etc, which is further presented to clinicians for verification and revision to improve credibility.
Keywords
Artificial Intelligence, precision medicine for cancer, smart care, personalization, comprehensiveness, full time, comprehensive care, pancreatic cancer, lung cancer brain metastases
◎ PI
