Pixels to Predictions: Designing Computational Imaging AI to Enable Precision Medicine
Join Dr. Satish E. Viswanath of Case Western Reserve University to learn how artificial intelligence (AI) can help clinicians with precision medicine approaches. He will present on RadxTools, an image informatics toolkit specifically geared towards developing modules that enable:
- the creation of spatially aligned, deeply annotated, radiology-pathology data sets.
- quantitative characterization of specialized, tumor response-specific features on post-treatment imaging.
- quality control of radiomic features.
NCI’s Informatics Technology for Cancer Research (ITCR) Program funds RadxTools.
Dr. Viswanath is an associate professor in the Department of Biomedical Engineering at Case School of Engineering and Case School of Medicine. He primarily focuses his research on developing new AI approaches for computer-aided diagnosis and detection, disease characterization, and quantitative evaluation of response to treatment in gastrointestinal cancers and digestive diseases.
Upcoming Events
- BTEC 2025 Annual Conference: The Epidemiology of Brain Metastases for Adult and Pediatric Brain TumorsMay 29, 2025Ctrl+Alt+Cure: Driving Smarter Cancer CareJune 11, 2025NCI Emerging Technologies Seminar: Programs and Resources to Support Technology Development for Cancer ResearchJune 17, 2025Data Jamboree: Enhancing Childhood Cancer Data Sharing and UtilitySeptember 29, 2025 - September 30, 2025NCI Office of Data Sharing’s Annual Data Sharing Symposium 2025: How Data Advances the Impact of Cancer ResearchSeptember 30, 2025 - October 01, 2025