March 19, 2021
Engineering doctoral student Sayan Ghosal combines genetic and imaging data to develop better model of the mental illness....... Read More
Artificial Intelligence
Researchers
Philippe Burlina
Principal Scientist, Intelligent Systems Center, Johns Hopkins Applied Physics Laboratory
Rama Chellappa
Bloomberg Distinguished Professor of Electrical and Computer Engineering and Biomedical Engineering
Related Projects
Data Science for AI in Healthcare: An Online Course
Machine learning (ML) & artificial intelligence (AI) frameworks are expected to play a significant role in driving innovation and discovery in healthcare research. Examples of ML & AI applications in health care include medical imaging and diagnostics, robot-assisted surgeries, and remote care assistance. To foster research collaborations using ML & AI,...
Noninvasive Localization of Epileptic Seizures
Epilepsy affects nearly 3.5 million people in the United States and is linked to a five-fold increase in mortality. While epilepsy is often controlled with medication, 20-40% of patients are medically refractory and continue to experience seizures in spite of drug therapies. The alternative for...
Predicting Risk for Glaucoma Progression Based Using AI
Glaucoma is the second leading cause of blindness globally, with approximately 79.6 million people expected to be affected by the disease by 2020. Automated visual field (VF) testing remains the gold standard for identifying patients with glaucoma and judging worsening of disease. Approximately 5% of patients with glaucoma undergo rapid worsening of their VF test.
Radiology AI Lab (RAIL)
RAIL is an open structured artificial intelligence focused research collaboration based in the Hopkins Department of Radiology and Radiological Sciences. The group is comprised of physicians and scientists from Johns Hopkins Hospital, the Whiting School of Engineering, and the Applied Physics Laboratory,...
Related News
January 25, 2021
Computer scientist Mathias Unberath teaches the fundamentals of artificial intelligence and ethical approaches to using the powerful technology....... Read More
November 5, 2020
OtoPhoto, the world’s first smart otoscope, takes images of the inner ear and uses machine learning to determine whether or...... Read More
October 28, 2020
He won the "Best Paper Award" at the 3rd International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2020), held...... Read More